AI Accelerator Silicon — Microsoft
Verify floating-point pipelines and coverage closure for next-gen AI chips.
Built reusable UVM environments and automation adopted across the org.
Building Huitzo — an AI intelligence platform for enterprise. Microsoft silicon engineer with the technical depth to make it real.
Building Now
Huitzo
An intelligence platform turning advanced AI into enterprise outcomes. Early-stage, serious architecture.
High-signal work across silicon, AI, research, and venture building.
Verify floating-point pipelines and coverage closure for next-gen AI chips.
Built reusable UVM environments and automation adopted across the org.
Make advanced AI capabilities accessible to enterprises and startups.
Designing scalable AI infrastructure with modular data pipelines.
Learn moreProtect file transfers against quantum computing threats.
Published a PQ-secured protocol with blockchain auditability (arXiv).
Learn moreEnable hands-free indoor navigation for mobility-impaired users.
Published at IEEE — low-cost, open-source design with dual control modes.
Learn moreShip production-grade billing and auth for multi-tenant SaaS.
Automated CI/CD pipelines enabling weekly iteration with confidence.
A snapshot of how engineering, research, and entrepreneurship intersect across my work.
Building reusable UVM test environments for RTL at Microsoft, covering floating-point pipelines, constrained-random testing, and coverage automation.
Verification of AI accelerator silicon and chip-level architectures spanning formal methods, functional coverage, and synthesis-ready design.
Deploying production-grade platforms with Kubernetes, Docker, Terraform, and CI/CD pipelines for personal ventures and client engagements.
Post-quantum cryptography, assistive robotics, and neurotech — translating academic research into working prototypes.
From AI silicon verification to research and consulting, I bridge deep engineering with purposeful outcomes.
Remote
Consulting studio helping founders and small teams de-risk architecture, ship prototypes, and build production-grade infrastructure.
Raleigh, NC
Verifying AI acceleration silicon through UVM environments, automation, and cross-team collaboration.
Potsdam, NY
Investigated resilient distributed systems blending embedded hardware, software, blockchain, and post-quantum cryptography while collaborating across disciplines.
Outcome-driven engagements for founders, teams, and organizations building at the edge of what's possible.
Evaluate architecture, code quality, and scalability risks for investment decisions or acquisition targets.
Design and build proof-of-concept systems spanning hardware, firmware, cloud, and AI pipelines.
Advise on AI accelerator integration, silicon-software co-design, and intelligent infrastructure planning.
Help early-stage teams make high-leverage technical decisions — from stack selection to team structure.
Partner with founders to translate vision into architecture, roadmap, and first working system.
Select engagements only. All advisory work is independent of my role at Microsoft.
A list of past projects ranging from robotics, secure compute, simulation tooling, and cloud platforms.
2025
Built GPU-accelerated Monte Carlo simulations in Python to model portfolio risk and derivative pricing scenarios.
The work combined quantitative methods, GPU programming, and data storytelling to turn raw simulation output into actionable strategy.
2024
Orchestrated Django, Supabase, and Stripe ecosystems with Dockerized deployment across Azure Kubernetes Service and Cloudflare.
This stack demonstrates how I build for resilience—pairing infrastructure automation with thoughtful developer experience.
2025
Building reusable verification environments and analytics to accelerate AI accelerator bring-up and coverage closure.
A focused initiative extending core verification work into reusable frameworks and knowledge transfer artifacts for future silicon programs.
2024
Enhanced emotion recognition accuracy using wearable electrocardiogram (ECG) data and machine learning models to classify emotions across valence, arousal, and dominance dimensions.
2023
Implemented vision-based automated control for prosthetic hands using FPGA processors, featuring an RGB camera interfaced to Zynq UltraScale+ MPSoC with object detection deep learning models.
Recorded demos and documentation of past hardware and research projects — a window into earlier engineering work.
2021
A low-cost, open-source autonomous wheelchair built on a standard manual chair. Demonstrated hands-free indoor navigation using stereo depth camera, LiDAR, and Nvidia Jetson. Published at IEEE.
Watch on YouTube
2021
A prosthetic hand driven by EMG muscle signals. The system translates electrical muscle activity into multi-grip actuation, restoring confidence and capability through biofeedback.
Watch on YouTube
2019
A science fair project born from discovering algae in the school water supply. Combined electrolysis and sensor electronics to build a working water quality detection instrument.
Watch on YouTubeWhether you're shipping silicon, scaling a venture, or exploring secure systems, I'd love to hear about the challenge.
Primary contact
[email protected]What would you like to discuss?
Location
Raleigh, NC
Current availability
Open for select advisory, prototyping engagements, and speaking with founders shaping technology.