Research direction
AI Safety / World Simulations
A speculative build track around simulated environments, agent behavior, and safety-relevant failure modes. Honest, early, and grounded in learning by building.
Projects
Experiments with a job to do.
Some projects are shipped systems. Some are learning tracks. Some are ways of turning recurring questions into something inspectable.
Automation concept
Claude / Gong / Rocketlane Hackathon
A generic customer-signal workflow: meeting transcripts and account context become Slack approval loops and project tasks with traceable human review.
Applied implementation
ML Deployment Work
Practical ML and reinforcement-learning implementation work at production scale, with attention to adoption, reliability, and operational constraints.
Learning system
Technical Skill Rebuild
A deliberate track for sharpening coding depth across systems, APIs, agents, evaluations, and the muscle memory of shipping better software.
Thinking in public
Writing
Essays and notes across AI, career, philosophy, faith, fitness, and personal logs, written to make ideas clearer rather than louder.
Personal systems
Fitness Protocols
Training, recovery, and nutrition treated as a systems project: practical protocols, measured habits, and a bias toward long-term consistency.