Architecting Systems
at the Edge of Embedded Systems, Firmware & Safety.
For over 18 years, I have architected the validation systems, simulation harnesses, and release foundations that allow mission-critical firmware, autonomous compute, and edge IoT devices to operate reliably in the physical world.
- Safety Critical
- Firmware
- Automotive
- IoT Systems
- Quality
Systems Leadership
18+ Years Across Global Programs
Firmware & Board Bring-Up
Board Validation & Low-Level Kernels
Autonomous & Safety
ASIL-D Multi-ECU Simulation
Edge Intelligence
Fleet Telematics & AI Quality
Engineering experience across industry leaders
Selected Systems & Frontiers
A high-level view of production systems engineered outside the enterprise—combining physical computing, automated ingestion, and browser runtime architectures.
US Live Layoff Monitoring Dashboard
National WARN layoff intelligence, unified from every state agency
Autonomous data ingestion architecture that scrapes, normalizes, and validates state WARN filings across 46 states and DC twice daily with zero human intervention using ETag caching and MD5 verification.
Smart-Home IoT Media Caster
Embedded Raspberry Pi orchestration for hands-off prayer-time media
Embedded daemon running on a Raspberry Pi that orchestrates a Sony Android TV over ADB for zero-touch audio broadcasting, managing device power states, HDMI audio routing, and NTP clock drift.
Adhan Caster — Cross-Browser Extension
Auto-pauses media in every tab at Adhan time
Cross-browser WebExtension that synchronizes media state across all open browser tabs, automatically pausing audio and video streams at prayer times with state recovery across Chromium, Gecko, and Edge engines.
The Architecture of System Validation
Software operating in the physical world cannot afford the luxury of undefined behavior. Here is the engineering mental model that guides my work across embedded systems, firmware, and autonomous ecosystems.
The Physical-Digital Frontier
Where failure has physical consequences
Most software architectures live in the cloud, where an unhandled exception restarts a container in milliseconds. Embedded firmware, autonomous vehicles, and industrial telematics operate under entirely different stakes. Physical boards and embedded systems interact with mechanical forces, high voltage, and irreversible operational states. My career is dedicated to this boundary—ensuring bare-metal firmware, real-time operating systems, and end-to-end connected ecosystems behave predictably under real-world conditions.
Determinism in an Asynchronous World
Forcing edge cases to reveal themselves
Real-world hardware is inherently unpredictable: thermal throttling, sensor drift, CAN bus contention, and power-state transitions. Quality is not verified by running happy-path checks after a build; it is engineered by creating the exact conditions where edge cases are forced to reveal themselves. Through hardware-in-the-loop (HIL) simulation, virtual-ECU modeling, and automated fault injection, I transform erratic physical phenomena into reproducible engineering signals.
Systems-Level Stewardship
Quality as an architectural foundation
Over nearly two decades across Amazon Lab126, Google, Rivian, Cruise, and Samsara, I have observed how ambitious hardware programs stumble: through uncommunicated assumptions between board hardware, firmware, software, and the broader cloud ecosystem. True quality is an architectural discipline established at NPI bring-up. It means designing multi-ECU arbitration, cryptographically verified A/B rollbacks, and zero-escape release gates that let engineering teams ship fearlessly.
Intelligent Engineering Leverage
Multiplying verification rigor with modern AI
Modern AI and edge SLMs offer immense leverage for systems engineering when applied with rigor. Rather than treating AI as a superficial coding assistant, I leverage agentic automation to synthesize complex fault scenarios, automate high-throughput protocol validation, and extract deep telemetry patterns from massive hardware test sweeps—achieving levels of empirical verification once thought impossible for lean teams.
Proven Across 18+ Years of High-Stakes Launches
From Amazon Alexa hardware and Google Pixel robotics to Rivian electric vehicles, Cruise autonomous compute, and Samsara fleet IoT.
Lab Notes
Project deep-dives, whitepapers, and thought leadership on engineering quality and AI-native development.
Adhan Caster for Chrome: Pausing Every Tab at Prayer Time
How I built a Manifest V3 Chrome extension in a single day with Claude Code — a live prayer-time countdown that auto-pauses media in every tab at Adhan.
Edge AI on a Raspberry Pi 4: Adding Gemma 3 + Ollama to the Adhan Caster
How I embedded a local Gemma 3 (1B) model via Ollama into a production Raspberry Pi 4 system — a natural-language assistant that self-diagnoses failures.
Let's Build Something Together
Open to senior engineering and QA leadership roles. Interested in firmware validation, test architecture, and AI-augmented quality systems.