Staff ML engineer and systems architect with 18+ years spanning machine learning, VFX, XR, real-time graphics, and voice synthesis. Designs and operates production AI systems end to end — sovereign GPU inference on in-house Blackwell hardware, multi-agent orchestration, LLM safety engineering, and cloud-native product delivery — including a live consumer AI product and paid enterprise modernization work. Known for adversarial self-audit discipline: systems ship with measured claims and verified outcomes, not vibes.
Geronimo Moralez IV is a staff machine learning engineer and systems architect in Los Angeles. His 18+ years span machine learning, VFX, XR, real-time graphics, and voice synthesis — a range that started in stereo conversion and pipeline engineering and now runs through sovereign GPU inference and multi-agent production systems.
The through-line is infrastructure for creative people. At StereoD he helped build the stereo-from-depth workflows the company scaled on. At Sony Pictures Imageworks he integrated one of the studio's first Alembic geometry pipelines, working with the format's original authors. At Encore Hollywood he automated compositing and render-farm work across thousands of episodic shots. The tools changed; the job did not.
Nimo Labs has run alongside all of it since 2017 — a boutique R&D studio delivering AI systems, voice synthesis, XR applications, and cloud-native platforms for clients, alongside an internal portfolio in agentic engineering, applied ML, and consumer AI. The inference hardware is in-house: four NVIDIA Blackwell GPUs and an RTX A6000.
He is known for adversarial self-audit discipline. Systems ship with measured claims and verified outcomes, not vibes — which is why every number on this site carries a provenance tag, and why the figures that could not be sourced were deleted rather than styled.
Signature strengths
MULTI-AGENT AI SYSTEMS
Orchestration runtimes, coordination infrastructure, verified production pipelines.
TTS optimization, prosody, neural vocoders, and audio intelligence pipelines.
REAL-TIME GRAPHICS & SPATIAL COMPUTING
Physics simulation, shader development, and XR across Unity and Unreal.
PROTOTYPE TO PRODUCTION
Rapid prototyping through to production in high-ambiguity environments.
Professional experience
Crafty Apes VFX
VFX Pipeline & Machine Learning Engineer
– Present · Remote
Semantic asset-discovery for VFX workflows — retrieve by meaning, motion, texture, composition, and visual energy.
Designed semantic asset-discovery systems for VFX workflows using multimodal embeddings, visual feature extraction, metadata enrichment, and vector similarity search.
Developed artist-aligned taxonomies and ontology layers translating concepts such as motion, texture, composition, and visual energy into machine-readable retrieval signals.
Built indexing, ranking, and evaluation pipelines enabling fast, meaning-based search across large visual-asset collections.
Prototyped AI-assisted workflow integrations connecting machine-learning capabilities with established VFX tools and production pipelines.
Collaborated with creative and technical stakeholders to translate ambiguous production needs into testable ML systems and practical artist-facing tools.
Impact & outcomes
Bringing ML superpowers to Artists, Production, and Technology.
The persistent lane. A boutique R&D studio running underneath every other engagement since 2017 — client delivery on one side, an internal portfolio in agentic engineering, applied ML, and consumer AI on the other.
Boutique R&D studio delivering AI systems, voice synthesis, XR applications, and cloud-native platforms for enterprise and startup clients — alongside a proprietary internal R&D portfolio in agentic engineering systems, applied ML, and consumer AI.
SOVEREIGN LLM INFRASTRUCTURE
Trillion-parameter-class mixture-of-experts inference, served from hardware in the building rather than rented by the token.
Deploy and operate trillion-parameter-class MoE inference (INT4/AWQ quantization, vLLM) on in-house 4× NVIDIA Blackwell and RTX A6000 hardware.
Benchmark-driven serving optimization with measured 1,100+ tok/s sustained throughput and self-hosted unit-economics analysis.
MULTI-AGENT PRODUCTION SYSTEMS
Agentic engineering infrastructure operated end to end, not demonstrated — the orchestration layer these products ship on.
Design, build, and operate agentic engineering infrastructure end to end — orchestration runtimes, model-routing gateways, coordination messaging, automated verification with evidence-anchored audit trails, and human-in-the-loop approval gates.
Used daily to ship real products.
LIVE CONSUMER AI PRODUCT
An LLM-powered companion app in production. The product stays unnamed here, matching the résumé's disclosure level.
Built and operate an LLM-powered companion app in production on AWS serverless — 17 CDK stacks across Cognito, DynamoDB, CloudFront, WAF, and SES.
Defense-in-depth safety stack: fail-closed age gating, multilingual crisis detection with automated production canaries, jailbreak firewall, moderation and abuse ladders.
Flutter client with Cognito SRP auth, Google SSO (PKCE), and Google Play Billing with server-authoritative entitlements.
APPLIED ML RESEARCH
Graph neural networks pointed at creative intelligence, and the corpus and reliability work that has to exist underneath it.
Graph neural networks for creative-intelligence applications (PyTorch Geometric, CLIP joint embedding spaces, perceptual color science).
Large-scale training-corpus engineering with adversarial leakage auditing.
LLM reliability research — error-corrected long-horizon execution with statistically certified reliability bounds.
CLIENT DELIVERY — LEGACY MODERNIZATION
A twenty-year-old WebForms platform replaced with serverless, on a fixed fee, in production, with PHI in scope.
Replaced an ASP.NET 3.5 WebForms (VB.NET) + SQL Server platform with a React/TypeScript SPA on AWS serverless — 37 Lambdas, 33 routes — for a San Diego legal-services firm (2026).
Fixed-fee milestone engagement, delivered and paid in full, carrying a HIPAA/PHI workstream.
Earned a scoped autonomous-deploy authorization in production.
VOICE / TTS CONSULTING
Production voice synthesis for clients — prosody, vocoders, and the inference cost of both.
Production voice synthesis systems — prosody optimization, neural vocoder integration, iOS native speech framework implementations ($25K+ engagements).
Measured 30–50% TTS inference speedups via FP16 and KV-cache optimization.
A.R.I.E.S.
A multi-agent research system that reads the literature so the operator can interrogate the synthesis instead of the corpus.
Multi-agent autonomous research system performing literature review, synthesis, and knowledge extraction.
Specifics available in conversation, under NDA where required.
Immuse
Tech Lead — AR Music Platform & Web3 Systems
– · Remote
Engineering lead on an AR NFT music platform where spatial computing, on-chain asset management, and live performance capture met — a role spanning AR, blockchain, cloud architecture, machine learning, and project management at once.
Led engineering for an AR music platform integrating spatial computing, blockchain infrastructure, and real-time performance capture.
Developed NFT minting pipelines, smart-contract tooling, and Web3 asset-management infrastructure.
Built native iOS plugins for AR positioning, spatial audio, and immersive fan-engagement experiences.
Directed cross-functional teams spanning product, creative, and engineering through multiple release cycles.
Led a team of four engineers across web3, backend and Unity, running very active agile sprints.
Visual music-based AR NFT development, on an augmented reality pipeline built in C# and Python.
Audio neural-net integration with ONNX and Unity Barracuda, and a Visual Positioning System implementation.
Impact & outcomes
Shipped AR location-based music NFTs — music anchored to physical places, minted on-chain.
AUGMENTED REALITY PIPELINE
Visual music-based AR NFT development — the spatial layer the product performed in.
Visual music-based AR NFT development.
Augmented reality pipeline in C# and Python.
Visual Positioning System implementation.
AUDIO NEURAL NET
Neural audio inference running inside the Unity client rather than behind a service call.
Audio neural-net integration with ONNX and Unity Barracuda.
ON-CHAIN SYSTEMS
Contract deployment and live operations, plus the wallet, storage and node infrastructure around them.
Solidity contract deployment and live operations.
ThirdWeb, IPFS, Consensys NFT, Infura, MetaMask, Alchemy, and Moralis.
BACKEND & DEVOPS
AWS serverless, deployed through CloudFormation.
Backend DevOps and development — AWS serverless with CloudFormation deployments.
NATIVE iOS BRIDGES
Swift plugin bridges between the engine and the platform.
Résumé-level text plus one operator-dictated impact line (2026-08-10). The confidentiality line on the résumé remains the ceiling for everything else.
Digital Giant
Tech Lead — Automotive Real-Time Pipeline
–
Established an automotive pipeline with cloud pixel streaming and batch processing against manufacturer APIs, leading a combined art and engineering team.
An automotive company where I established an automotive pipeline with cloud pixel streaming and other batch processes in conjunction with Hyundai APIs.
Led a team of three artists and four engineers.
Real-time systems across data, game engine, and cloud.
Unity C# data ingestion, artist tools, and outputs to the AWS cloud, with Python data engineering and AWS cloud architecture underneath.
An AR Foundation car configurator, and an Unreal Engine car configurator with automotive shader exploration.
A C++ plugin for the creation of a lens distortion profile.
Impact & outcomes
1,000,000+ configurations — a photoreal car configurator running in real time in a game engine.
Worked with Unity on their own automotive platform — which adopted more than a few of my ideas.
Stack Unity (C#) · Unreal Engine · AR Foundation · Python data engineering · AWS · Cloud pixel streaming · C++
Jan 2019 – Feb 2021.
A second, earlier engagement with the same company — Creative Technologist, Nov 2016 – Apr 2017 — sits on the Independent Era card as its own workstream.
Encore Hollywood
Senior Pipeline Developer — Episodic VFX
– · Hollywood, CA
Episodic VFX at volume — pipeline scaling, compositing automation, and the first machine-learning prototypes in the shop.
Managed and scaled VFX pipelines supporting thousands of episodic shots across multiple concurrent productions.
Automated compositing workflows and render-farm optimization, improving throughput by 40%+.
Prototyped early ML integrations for asset tagging and pipeline intelligence.
A full TV episodic pipeline, from ingestion through delivery, running multiple shows per season.
Stack Compositing automation · Render-farm optimization · ML asset tagging
Jul 2017 – Aug 2018.
The profile puts a figure on the shot volume. The résumé says "thousands," and under D-017 rule 2a the résumé's wording is what ships — so no shot count appears on this card.
Independent Era
Technical Director — Contract Engineering
– · Los Angeles, CA
Six years of contract technical direction — mocap and VFX pipeline, Nuke and Maya tool authoring, crowd work at volume, real-time prototyping, and the spatial-localization SDK that closes the period.
Tech Lead — Automotive Visualization (Digital Giant); Unity Developer — Spatial Localization SDK (Fantasmo); VFX / Real-Time TD (Timber, Royale, House of Moves, Illuminate Hollywood).
Developed a Unity C# SDK for visual-positioning localization at Fantasmo, letting a user localize and calibrate their physical position to within ten centimeters, alongside the research team in Munich.
Built a full motion-capture pipeline at House of Moves — ShotGrid and Tank API programming, MotionBuilder Python scripting, and a timelog manager in PyQt.
Handled a high volume of commercial crowd shots at A52 with Massive, using Nuke Python and standalone Python to manipulate massive data.
Impact & outcomes
Built AR on new localization technology at Fantasmo — the tech now known as VPS — years before Niantic shipped theirs.
HOUSE OF MOVES
Pipeline TD, full motion-capture pipeline. Jul – Dec 2012.
ShotGrid programming against the established API, and Tank API programming.
MotionBuilder Python scripting.
Timelog manager built with PyQt.
FREELANCE GENERALIST TD
Nuke, Maya, Houdini and Softimage tool authoring. Jan 2013 – Feb 2014.
Nuke (Python) — assembled custom V-Ray templates and gizmos, built a repair module for badly blended deinterlaced footage, and built show tools for environment, templates, gizmos and I/O.
Maya (Python, MEL) — implemented an Alembic toolset to speed up production, maintained V-Ray render-pass templates, and built a shader application for Alembic files out of Houdini using OpenMaya.
Houdini (Python) — built a show-specific FX environment, a particle debris OTL, and the I/O code to and from Maya.
Softimage (ICE) — lighting with Arnold.
ALMA MATER
Compositor and TD, stereoscopic feature. Nov 2013.
Nuke stereo compositing and ACES pipeline setup on The Lego Movie end credits.
A52
Massive TD, commercial crowd work. Aug – Sep 2015.
High volume of commercial crowd shots.
Nuke Python and standalone Python manipulation of massive data.
GENTLEMAN SCHOLAR
Compositor, commercial. Oct 2016.
Commercial compositing.
DIGITAL GIANT — CREATIVE TECHNOLOGIST
Rapid real-time prototyping. Nov 2016 – Apr 2017.
Rapid real-time prototyping.
FANTASMO
Unity developer, visual positioning system. Aug – Nov 2018.
A startup working on localization technology with a visual positioning system, where a user can localize and calibrate their physical position to within ten centimeters. Worked alongside the research team in Munich.
Rapid AR prototyping, and AR multiplayer for four players.
Developed the Unity C# SDK, which used a great deal of linear algebra.
The résumé compresses these years into a single line; the profile is what supplies the individual shops, spans and titles below.
Timber
Nuke Compositor · TD
– · Los Angeles, CA
A Nuke pipeline built from scratch and the compositing that ran on it — custom I/O nodes hooked into the studio's Python API, across commercial and music-video work.
VFX / Real-Time TD (Timber).
Nuke pipeline and compositing.
Custom Nuke setup with a variety of tools and workflows enabled — custom Read Image, Read Geo, Read Cam, Write Image and Write Geo, hooked into the pipeline Python API.
Compositing on the New Nintendo 2DS XL launch, and the fire and crowd shots on Kendrick Lamar's HUMBLE.
Impact & outcomes
Built the studio's Nuke pipeline from scratch — custom I/O hooked straight into the studio's Python API — and covered Flame Assist.
NUKE PIPELINE
Custom node set, hooked into the studio Python API.
RealFlow water simulation for the Apple Watch keynote, and FX support for the staff around it — a summer inside Marketing Communications.
RealFlow liquid simulation, assisting staff with FX issues.
Stack RealFlow · Liquid simulation · FX support
Jul – Sep 2016. Three months, and the shortest era on the rail.
We Are Royale
Staff Technical Director · Creative Technologist
– · Hollywood, CA
Two roles at one shop: Arnold lighting and pipeline integration first, then creative technology — AR and a live puppet system driven by real performers.
VFX / Real-Time TD (Royale).
Arnold lighting TD on Nike Evo, and Arnold XSI lighting with pipeline integration on Nike Tech Fleece.
Bathroom lighting and compositing on MTV Pulse, with Alembic integration across multiple 3D programs.
Bringing creative and development together across multiple mediums and platforms.
AR and puppet system in Unity 3D driving a character from two puppeteers and one motion capture actor.
Impact & outcomes
Built a live digital-twin puppet platform — a mocap actress plus two Henson puppeteers splitting the face — sent to Shanghai as the avatar of tennis star Li Na.
Unified the shop's pipeline across Arnold, XSI and Alembic.
STAFF TECHNICAL DIRECTOR
Lighting and pipeline. Feb 2014 – Mar 2015.
Arnold lighting TD on Nike Evo, and Arnold XSI lighting with pipeline integration on Nike Tech Fleece.
Bathroom lighting and compositing on MTV Pulse, with Alembic integration across multiple 3D programs.
Making things better and faster.
CREATIVE TECHNOLOGIST
AR and puppet systems in Unity. Mar – Aug 2015.
Bringing creative and development together across multiple mediums and platforms.
AR and puppet system in Unity 3D driving a character from two puppeteers and one motion capture actor — #AskLiNa.
Stack Arnold · Softimage XSI · Alembic · Unity 3D · AR · Motion capture
Feb 2014 – Aug 2015.
The profile also nests a freelance generalist year (Jan 2013 – Feb 2014) under the same company; it sits on the Independent Era card, where its dates fall.
Sony Pictures Imageworks
Pipeline Developer
– · Culver City, CA
Brought one of the studio's first Alembic geometry pipelines into a feature production, working with the format's original authors.
Integrated one of the studio's first Alembic geometry pipelines into the Hotel Transylvania production, working directly with Alembic's original authors.
Tool creation and support for the Layout department around the new Alembic technology.
Assisted animators with broken rigs and difficult technical issues, and supported the shop on Nuke 3D lighting questions.
Impact & outcomes
Worked on the studio's newly invented Alembic-based crowd technology, and drove Alembic into Layout for massive speed boosts.
Employee number five at a stereo-conversion startup, building the depth-conversion workflows the company then scaled on.
Pioneered the foundational stereo-from-depth conversion workflows alongside the scientist who invented the technique.
Joined as employee #5 as the company scaled from five people into one of the industry's leading stereo-conversion houses.
The pipeline went on to power conversions for major studio franchises.
As Stereoscopic Supervisor, responsible for designing a pipeline and tools for a stereoscopic production, along with bids, scheduling, and shot supervision.
Stereoscopic conversion on Avatar.
Multiple test demos — Iron Man, Transformers, The Rocky Horror Picture Show, and The Cabin in the Woods.
Impact & outcomes
Turned a just-invented depth-conversion technique into the production backbone that made a five-person startup worth buying — and Deluxe bought it.
Stack Stereo-from-depth conversion · Production pipeline · Shot supervision · Bidding and scheduling
Acquired by Deluxe, 2011.
The profile records this engagement as Stereoscopic Supervisor, Aug 2009 – Apr 2010. The résumé's span and framing are what ship (D-017, rule 2a); the profile supplies the scope beneath it.
Early Post Era
Nuke Compositor · Lighting & Comp TD · Stereo Conversion
– · Los Angeles, CA
The first three years — compositing and lighting on features and commercials, and the stereo-conversion work that led into StereoD.
Lighting and compositing technical director at Sony Pictures Imageworks on G-Force, responsible for the reconstruction of a second eye for use in a stereoscopic feature film.
Stereoscopic compositor at Prime Focus on the stereo conversion of Star Wars: Episode I.
Nuke pipeline TD at Illuminate Hollywood 3D — advancement and automation of Nuke tools, including a stereoscopic 2D-to-3D converter built for a two-reel feature film delivery.
Pipeline TD at Big Block, building studio infrastructure in Python, PyQt, Python OpenGL, MaxScript, .NET, Apache, CGI, JSON, XML and HTML, and helping the engineering department build a Deadline render farm expandable with rental nodes.
SWAY STUDIO
Nuke compositor. Oct 2008 – Jan 2009.
Nuke compositor at Sway Studio on a Quaker State commercial and BMW tests.
SONY PICTURES IMAGEWORKS
Lighting / compositing TD, G-Force. Mar – Jun 2009.
Responsible for the reconstruction of a second eye for use in a stereoscopic feature film.
SONY PICTURES ENTERTAINMENT
Nuke compositor / 3D generalist. Apr – Sep 2010.
Compositing and post-viz on Battle: Los Angeles.
COMEN VFX
Nuke compositor / 3D generalist. Sep – Nov 2010.
Full generalist duties from matchmoving to final output including stereoscopy, on The Fighter, Limitless, and Knights of Badassdom.
PRIME FOCUS
Stereoscopic compositor. Nov 2010 – Feb 2011.
Stereo conversion on Star Wars: Episode I.
ILLUMINATE HOLLYWOOD 3D
Nuke pipeline TD. Feb – Apr 2011.
Responsible for the advancement and automation of Nuke tools and maximizing efficiency in workflows and the pipeline.
Created a stereoscopic 2D-to-3D converter for use in a two-reel feature film show delivery.
INGENUITY ENGINE
Nuke compositor. Apr 2011.
Compositing commercial work.
BIG BLOCK
Pipeline TD and Nuke compositor. Jul – Nov 2011.
Built a flexible and expandable studio infrastructure using Python, PyQt, Python OpenGL, MaxScript, .NET, Apache, CGI, JSON, XML and HTML.
Helped the engineering department build and maintain a Deadline render farm, easily expandable with rental nodes.
Compositing for commercial, film and tests, while maintaining the facility pipeline infrastructure.
The second-eye reconstruction work on G-Force directly precedes the StereoD years.
Abstraction ladder
The same years, read as altitude rather than as employers.
VFX GENERALIST–
ENGINEER–
TECHNICAL LEAD–
PRODUCT ARCHITECT–
SYSTEMS ARCHITECT–
COGNITIVE ARCHITECT–
Technical expertise
Five domains, 58 capabilities, 79 cited cross-links. Every entry traces to a line of the résumé; the evidence for each one is the engagement it appears in above.
AI / MACHINE LEARNING
AGENTS · RUNTIMES · RELIABILITY
MULTI-AGENT ORCHESTRATIONcore Production agent runtimes coordinating models, tools, state, and verification across complex engineering workflows.Python / asyncio, Redis / Redis Streams, vLLM, Docker, Kubernetes
LLM INFERENCE & MODEL ROUTINGcore Getting tokens out of a large model at a cost that closes.vLLM, INT4/AWQ, Speculative decoding, Routing gateways
MoE SERVINGcore Mixture-of-experts models at the trillion-parameter class, served in-house.vLLM, INT4/AWQ
GRAPH NEURAL NETWORKSexploring Learning over relationships rather than over rows.PyTorch Geometric, GAT
GRAPH-RAG & KNOWLEDGE GRAPHSactive Retrieval that walks a graph instead of guessing from a flat index.Neo4j
SEMANTIC SEARCHcore Retrieval by meaning — the thing an artist actually asks for.CLIP, Vision-language models
VECTOR DATABASEScore Approximate nearest neighbour at library scale.Qdrant, Pinecone, FAISS
OBJECT DETECTION & PERCEPTIONactive Finding things in frames, in real time, on a headset budget.YOLO
SYNTHETIC DATA & CORPUS ENGINEERINGactive Building the training set, then auditing it adversarially for leakage.
EVALUATION & VERIFICATIONcore Deciding whether a model is good enough, with evidence rather than vibes.
AGENT RELIABILITY ENGINEERINGexploring Long-horizon execution that survives its own error rate.
CRISIS DETECTIONcore Multilingual detection with production canaries, failing closed.
JAILBREAK FIREWALL & MODERATIONcore The adversarial surface of a consumer product, treated as a system.
INFRASTRUCTURE & COMPUTE
GPU · CLOUD · DELIVERY
GPU SYSTEMScore Owned silicon — the reason inference economics are a design variable here.NVIDIA Blackwell, RTX A6000, Multi-GPU clusters
TRITON KERNEL OPTIMIZATIONexploring Where the throughput actually lives, once the easy wins are gone.
AWS SERVERLESScore Infrastructure as code, deployed as stacks, billed by the request.Lambda, CDK, DynamoDB, Cognito, CloudFront, WAF, ECS, S3, Bedrock
TERRAFORMactive Declarative infrastructure outside the AWS-native path.
DOCKER & KUBERNETESactive The unit of deployment for anything that is not a Lambda.Docker, Kubernetes
CI / CDcore The gate that decides whether work is finished, running on a machine.GitHub Actions
DISTRIBUTED SYSTEMS & MESSAGINGactive How agents talk to each other without losing the message.
BACKEND & API ARCHITECTUREcore Routes, contracts, and the boring parts that decide whether it scales.
INFERENCE UNIT ECONOMICSactive Cost per token, measured on hardware you own, against the rented alternative.
AUTH & ENTITLEMENTSactive Identity, session, and the server-side truth about what a user paid for.Cognito SRP, Google SSO (PKCE), Google Play Billing
RENDER-FARM ORCHESTRATIONarchived Scheduling thousands of frames across a finite pool of machines.
TELEMETRY PIPELINESactive Getting field data back from deployments that are frequently offline.
GRAPHICS / VFX / REAL-TIME
RENDER · SIMULATION · COLOR
UNITYcore The real-time engine most of the XR and visualization work is built in.
UNREAL ENGINEactive The other real-time engine, when the render bar is the deciding factor.
XR / AR FOUNDATIONcore Tracking, anchoring, and the device abstraction underneath both.
SHADER DEVELOPMENTcore Material and lighting authored at the instruction level.HLSL, Metal
PHYSICS & FLUID SIMULATIONactive Motion derived from forces rather than from keyframes.
COLOR SCIENCEcore Perceptual colour as a measurable quantity — the bridge between film and ML.OKLAB, Film sensitometry, 3D LUTs
NUKE COMPOSITINGactive The node graph every VFX pipeline eventually has to speak to.
HOUDINIactive Procedural FX, and the strongest argument for authoring geometry as a program.
MAYA / BLENDER PIPELINESactive Asset authoring and the interchange between it and everything downstream.
PROCEDURAL GENERATIONexploring Content described by rules, so it can be regenerated instead of stored.
REAL-TIME VISUALIZATION & DIGITAL TWINSactive A live model of a physical system, rendered at interactive rates.
STEREO-FROM-DEPTH CONVERSIONarchived Turning a flat plate into two eyes, one depth decision at a time.
ALEMBIC GEOMETRY PIPELINEarchived Baked geometry interchange — the format that made cross-vendor VFX possible.
VOICE & AUDIO
SYNTHESIS · PROSODY · PIPELINES
VOICE SYNTHESIScore Generating speech that a listener does not have to forgive.
TTS INFERENCE OPTIMIZATIONcore The latency budget between a keystroke and a spoken word.FP16, KV-cache
PROSODY OPTIMIZATIONactive Rhythm, stress, and intonation — where synthetic speech gives itself away.
NEURAL VOCODERSactive The final stage that turns a spectrogram into a waveform.
iOS SPEECH FRAMEWORKSactive On-device speech where the platform already ships the hard part.
AUDIO INTELLIGENCE PIPELINESactive Treating audio as a searchable, classifiable signal rather than a file.
SPATIAL AUDIOactive Sound positioned in a room the listener is standing in.
PRODUCTION VOICE SYSTEMSactive Voice work as a delivered engagement, not a demo.
LANGUAGES & TOOLS
IMPLEMENTATION SURFACE
PYTHONcore The ML and pipeline language; most of the serving and research code.
C#active Unity gameplay, tooling, and XR application code.
C++active Engine-side and native plugin work where the frame budget is the constraint.
RUSTexploring Systems work where a memory bug is not an acceptable failure mode.
DARTcore Client code, and the language this site's kernel is written in.
JAVASCRIPT / TYPESCRIPTcore Web front ends and the serverless handlers behind them.
SWIFTactive Native iOS plugins and platform framework integration.
SHELL / BASHactive The glue that holds every build and deployment together.
FLUTTERcore One client codebase across mobile and web — including this one.
PYTORCHcore The research surface for everything trained rather than written.PyTorch Geometric
REACTactive Conventional product front ends, when a canvas would be the wrong answer.
ASP.NET / VB.NET (LEGACY)archived Read-only fluency in the platform being migrated away from.
Research & development
Specific implementation details are available in conversation and, where required, under NDA. Performance figures shown are measured results; architectural schematics intentionally omit proprietary control logic, internal protocols, client-identifying details, and production security topology.
SOVEREIGN INFERENCE BENCH
TRILLION-PARAMETER-CLASS MoE ON OWNED SILICON OPERATING
Trillion-parameter-class mixture-of-experts inference served on privately operated GPU infrastructure — quantified, benchmarked, and operated as a sovereign inference environment.
SUSTAINED THROUGHPUT
1,100+ tok/s
PRIMARY GPU
NVIDIA BLACKWELL ×4
AUX GPU
NVIDIA RTX A6000
PRECISION
QUANTIZED INFERENCE
SERVING
HIGH-THROUGHPUT GPU INFERENCE
MODEL CLASS
TRILLION-PARAMETER-CLASS MoE
Simulated profile. THROUGHPUT PROFILE — the interactive version plots an illustrative curve here and labels it as such. No measured series exists for this panel, so none is shown.
Production multi-agent infrastructure coordinating models, tools, state, and verification across complex engineering workflows.
RUNTIME
ORCHESTRATION + MODEL ROUTING
MESSAGING
DISTRIBUTED COORDINATION
STATE
PERSISTENT EXECUTION STATE
VERIFICATION
EVIDENCE-ANCHORED ACCEPTANCE
APPROVALS
HUMAN-IN-THE-LOOP GATES
DUTY CYCLE
USED DAILY IN PRODUCTION
SCHEMATIC · IMPLEMENTATION DETAILS WITHHELD
LIVE CONSUMER AI PRODUCT
NAME WITHHELD · RÉSUMÉ DISCLOSURE LEVEL IN PRODUCTION
An LLM-powered companion application operating in production on serverless cloud infrastructure, with authoritative billing, federated identity, persistent state, and defense-in-depth safety controls that fail closed.
INFRASTRUCTURE
AWS SERVERLESS
CLIENT
CROSS-PLATFORM MOBILE
IDENTITY
FEDERATED AUTHENTICATION
DATA
MANAGED CLOUD DATA LAYER
BILLING
SERVER-AUTHORITATIVE ENTITLEMENTS
SAFETY
MULTI-LAYER SAFETY CONTROLS
RECORDED ARCHITECTURE · OPERATIONAL TOPOLOGY WITHHELD
A.R.I.E.S.
AUTONOMOUS RESEARCH · SYNTHESIS · EXTRACTION INTERNAL R&D
Autonomous research system for traversing source material, extracting structured knowledge, synthesizing evidence, and producing reviewable research outputs.
ARCHITECTURE
MULTI-AGENT AUTONOMOUS
FUNCTION
LITERATURE REVIEW
FUNCTION
SYNTHESIS
FUNCTION
KNOWLEDGE EXTRACTION
FUNCTION
EVIDENCE CONSOLIDATION
SCHEMATIC · INTERNAL METHODS WITHHELD
GNN CREATIVE-INTELLIGENCE RESEARCH
GRAPH LEARNING · PERCEPTUAL COLOR ACTIVE RESEARCH
Graph-learning research exploring relationships between perceptual color, semantic representation, and creative-intelligence systems.
CORPUS
WITHHELD
REPRESENTATION
WITHHELD
PERCEPTUAL MODEL
WITHHELD
COLOR MODEL
WITHHELD
ARCHETYPE
WITHHELD
SCHEMATIC · COMPONENTS OF ONE SYSTEM
CLIENT DELIVERY — LEGACY MODERNIZATION
SERVERLESS · FRONTEND · REGULATED SYSTEMS DELIVERED 2026
A legacy line-of-business platform replaced with a modern serverless application architecture for a regulated professional-services client.
SERVERLESS FUNCTIONS
37
API ROUTES
33
LEGACY PLATFORM
ASP.NET / SQL SERVER
DELIVERED AS
REACT / TYPESCRIPT SPA ON AWS
ENGAGEMENT
FIXED-FEE MILESTONE DELIVERY
COMPLIANCE
REGULATED-DATA WORKSTREAM
AUTOMATION
SCOPED AUTONOMOUS DEPLOYMENT
RECORDED ARCHITECTURE · CLIENT IDENTITY WITHHELD
Education
B.S., Computer Animation — Full Sail University
Clients & brands
AVATAR
MARVEL
APPLE
HOTEL TRANSYLVANIA
G-FORCE
BMW
HYUNDAI
SUBARU
CHIPOTLE
NIKE
STAR WARS
BATTLE: LOS ANGELES
LIMITLESS
HARRY POTTER
MLB
NFL
MORTAL KOMBAT X
EA MADDEN
WEB3 NFTs
Infrastructure
Operates production ML infrastructure including 4× NVIDIA Blackwell GPUs and RTX A6000 for large-model deployment, fine-tuning, quantized inference, and reliability research.
Contact
Direct mail reaches me fastest. Bring the problem rather than the pitch — inference economics, agent orchestration, or a pipeline that has outgrown its authors.