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psi16181918161phi/README.md

🌌 psi16181918161phi

⚑ Independent Developer · Builder · Researcher ⚑

"Prefer working code over comprehensive documentation β€” but both is better."

Typing SVG


🧠 Who Am I?

I'm a self-driven developer building stable, reproducible software at the intersection of AI, control systems, and real engineering. When I'm not hunting hallucinations in LLM pipelines, I'm deep in personal research I genuinely care about β€” no corporate overhead, no permission needed.

πŸ“Œ Background Highlights β€” click to expand
  • 🏭 Former Software-in-the-Loop (SIL) engineer @ General Motors β€” ICE/co-simulation workflows, MATLAB/Simulink, CAN/LIN, FMI/FMU support tooling
  • πŸŽ“ B.Eng Electrical Engineering β€” Ryerson University
  • πŸ”¬ Independent research: Kalman filtering, GPU compute concepts, AI orchestration

πŸ› οΈ Tech Stack

πŸ’» Languages

Language Language
JavaScript TypeScript
Python C/C++
Rust Go
Java Perl
MATLAB CUDA

βš›οΈ Frameworks & Libraries

React Node.js
Express Simulink

πŸ€– AI / ML

OpenAI Β TensorFlow
PyTorch πŸ“‘Kalman Filtering

🧰 Tools & Platforms

Git Docker
VS Code Jenkins

πŸ—οΈ Architecture & Practices

🌐 REST API Β  πŸ”€ Microservices Β  πŸ”„ Agile Β  πŸ§ͺ SIL/HIL Β  πŸ”Œ CAN/LIN Β  🧬 FMI/FMU


πŸ”¬ Simulation & Control

πŸ” Simulink Β  πŸ“ MATLAB Β  🧬 FMI/FMU Β  πŸ§ͺ SIL/HIL Β  πŸ”— Co-Simulation Β  πŸ“‘ Kalman Filtering Β  πŸ”Œ CAN/LIN


πŸ”­ What I'm Currently Building

πŸ€–  AI-assisted dev workflows  ──── strict validation + reproducibility
πŸ“‘  High-precision Kalman filter experiments  ──── estimation & control
πŸ› οΈ  Developer productivity tooling  ──── cleaner engineering pipelines

πŸ’‘ What Drives Me

✦  Building things that matter β€” to ME, first
✦  Clean, testable code that speaks for itself
✦  Zero overhead between an idea and its execution

🧩 Experience

πŸ’Ό General Motors β€” Software-in-the-Loop (SIL) Engineer

Sep 2021 – Jan 2025

  • Owned ICE engine domain SIL package improvements β€” restructured MATLAB/Simulink co-simulation workflows, reducing engineer onboarding steps from ~12 to ~4 via Python, Batch, and Shell automation
  • Improved ICE co-simulation package startup performance through model restructuring and CAN/LIN DBC/LDF relative addressing automation
  • Built helper tooling for FMI/FMU co-simulation standard compliance, CAN/LIN file path resolution, and model build/debug/execution pipelines
  • Delivered cross-domain integration across software, systems, and calibration teams under SAFe Agile methodology
  • Early conception of AI-assisted SAFe feature/story generation with risk and ROAM analysis integration

πŸ”¬ Independent Research & Development

Jan 2025 – Present

  • Designed and validated a 1e-9 precision Kalman filter for active battery balancing applications, with extensions to non-linear, time-varying systems with stochastic disturbances
  • Extended classical control theory: authored research on Controllability, Observability, Stability, and Detectability for NTV/LTV/NTI systems beyond standard LTI assumptions
  • Conceived nth-order hold formulations for discrete sampling and co-simulation interfaces
  • Extended FMI/FMU interface tooling for improved CAN, LIN, and COM vehicle communication support
  • Researched CUDA-based matrix multiplication methodologies for accelerated AI/ML training and inference on GPU hardware
  • Developed hybrid quantum gate simulations and raw Python quantum module implementations β€” entirely local, no third-party quantum APIs (Intel, IBM, Microsoft)
  • Conceived the fracubit concept and a Mohr's Sphere analog to the Bloch Sphere for 3D quantum state representation
  • Designed improved website security techniques: ephemeral addressing, bot-scraping prevention, anti-screenshot and anti-copy-paste methods for sensitive data display
  • Conceived Proof-of-Routing logic and fee minimization frameworks for crypto-to-crypto and crypto-to-fiat transactions
  • Designed advanced cybersecurity doctrines including proactive defensive and hybrid offensive postures
  • Conceived better AI orchestration architectures: self-learning, self-adapting pipelines with minimal human intervention for improved accuracy, cost reduction, and reliability

πŸ“« Let's Connect

Drop by any of my repos β€” open an issue or start a discussion. I'm always down to talk shop.

⚑ Built different. Ships real. ⚑

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