About
Building and operating complex technical systems
I work at the intersection of machine learning, systems engineering, and technical leadership. My focus is on building systems that remain reliable under uncertainty, scale with real-world demands, and can be responsibly operated in production environments.
My approach
I approach engineering problems from a systems perspective rather than a feature-first mindset.
This means understanding constraints early — physical limits, energy consumption, latency, security, and human factors — before designing solutions that can adapt over time.
What I work on
My work spans applied research, systems development, and technical leadership across several domains.
Reinforcement Learning & Intelligent Control Systems
I design intelligent agents that solve complex, dynamic problems where traditional algorithms fail. Whether it's routing logistics fleets, controlling drones, or managing energy grids, I build systems that learn to optimize themselves in real-time.
High-Fidelity Simulation & Systems Programming (Rust)
Expertise in building "Digital Twin" environments from scratch to model physical phenomena (physics, battery drainage, network latency). I create deterministic, highly parallelizable simulations that serve as training grounds for AI agents, ensuring that models work in the real world, not just in theory.
Computer Vision & Perception
Experience bridging the gap between perception and action. I leverage modern architectures to enable robotic systems to "see" and interact with their environment autonomously, replacing manual operator input.
Technical Leadership & Engineering Strategy
Proven track record of transitioning from core developer to CTO/Co-Founder roles. I have managed cross-functional teams, restructured engineering workflows to prevent burnout, and architected secure, financial-grade codebases (80k+ LOC) for high-stakes user platforms.
Selected work