For the past 10 years, I have served as a tenured Biology Professor and researcher with a Ph.D. in Pharmacology. Today, I am transitioning my career from academia into deep-tech systems architecture.

It turns out that the strict, methodical isolation of variables required in wet-lab assay development translates flawlessly into software engineering. I combine a decade of rigorous scientific methodology with deep-stack engineering to design and deploy "unbrickable" architectures for environments with lethal constraints—from high-noise industrial manufacturing floors to legacy enterprise codebases.

I don't just consume APIs; I author the foundational communication protocols, heuristic engines, and state machines that allow hardware and software to interface securely at scale.

My core architectural work spans three distinct domains of systems engineering: Physical Control, Abstract Mapping, and Simulated Optimization.

meow-turtle | Distributed SMP Sorting Architecture An industrial-grade, distributed SCADA framework designed for hard real-time physical sorting.

• 🎥 Watch the Hardware Demo on YouTube
• The Architecture: Utilizes a dual-core Symmetric Multiprocessing (SMP) architecture on bare-metal RP2350 microcontrollers.
• The Protocol: Driven by MTIP, a custom fault-tolerant, Layer-7 asynchronous serial protocol I authored for high-noise RS485 environments. Features deterministic packet framing (<HEX:CRC>), CRC-16-CCITT cryptographic verification, and priority transmit queues for microsecond E-Stop interrupts.
• The Reliability: Features "Death Gasp" brownout telemetry, E-Stop hardware interlocks, and an atomic Over-The-Air (OTA) firmware staging system with a zero-dependency Ghost Mode rescue kernel to prevent remote bricking.

gitgalaxy | AST-Free Heuristic Knowledge Graph A high-velocity static analysis engine built for extreme-scale enterprise intelligence and technical debt mapping.

• 🎥 Watch the WebGPU Visualization on YouTube
• The Architecture: Bypasses traditional Abstract Syntax Trees (ASTs) and LLMs entirely, utilizing a custom heuristic scanning engine to parse and map monolithic architectures (including legacy COBOL) across 50+ languages.
• The Visualization: Renders massive, unstructured codebase relationships into actionable 3D risk maps using custom WebGL/WebGPU pipelines.
• The Impact: Deployed as an incident response and M&A technical due diligence tool to generate zero-trust SBOMs and expose hidden dependency chains.

sorting_evolution_algorithm | Predictive Physics Simulation A high-compute testing environment that evolves optimal mechanical solutions before physical deployment.

• 🎥 Watch the Evolutionary Algorithm Demo on YouTube
• The Architecture: Couples a custom Genetic Algorithm (GA) with a headless Matter.js physics engine.
• The Compute: Offloads intense evolutionary calculations into multi-threaded Web Workers, allowing for rapid generation and mutation of mechanical sorting tolerances based on physical fitness scores.

• No_number_clock: A mechanical assistive technology device translating abstract time into physical distance using C++ and micro-stepping motor control. 🎥 Watch the Build on YouTube
• math_facts: A zero-wait, gamified analytics dashboard built with Python, Flask, and Plotly.js to track real-time learning metrics.

• Micro-MTIP Framework: Extracting the Layer-7 asynchronous SCADA protocol utilized in meow-turtle into a standalone, open-source routing framework for edge-compute developers.

I am currently pivoting my systems engineering expertise into the industrial automation, DevSecOps, and deep-tech sectors. If your engineering team is tackling complex edge-compute integrations, legacy architecture mapping, or requires fault-tolerant systems design, let's talk!