AI Engineer • Full-Stack Developer • IoT Systems Architect
I began in fiber optics and telecom, where I earned my Lean Six Sigma Green Belt and learned to think in systems. Lean methodology taught me to identify bottlenecks, eliminate waste, and optimize complex workflows - skills that became the foundation of how I approach software architecture. Watching senior engineers solve impossible network issues sparked my transition into software engineering - I wanted to build the tools that solve those problems at scale.
That spark led me to earn a Master's in Software Engineering (AI Specialization) from Western Governors University and a Bachelor's in Computer Science. I apply lean systems thinking to software development - breaking down complex AI systems into efficient, scalable components with minimal coupling and maximum value delivery.
Today, I architect AI platforms - most notably NeMo AI Ecosystem, a complete voice-controlled life automation system with 12,000+ lines of Python code. It integrates AR wearables (Even Reality glasses), IoT hubs, smart home devices, and enterprise AI (NeMo ASR, Gemma LLM, RAG) into a unified platform. I specialize in PyTorch, FastAPI, Docker, IoT orchestration, and CUDA optimization for real-world deployment.
I design scalable systems with microservice patterns, GPU optimization, and security-first principles.
I build production ML pipelines with PyTorch, Transformers, NeMo, and CUDA acceleration.
I orchestrate complex systems - AR glasses, smart homes, mobile apps, and cloud APIs working as one.
I ship enterprise-grade software with testing, security, documentation, and deployment automation.