AI Systems Architect • Multi-Agent Systems • Reverse Engineering • Deep RL
Building AI-powered field service management at Exoserva
| Project | What It Does | Tech |
|---|---|---|
| autonomous-agents | 4 AI agents collaborate like ant colonies via stigmergy | Claude API, Python |
| ml-showcase | 27 production ML modules: RL, trading, NLP, core infra | PyTorch, Python |
| sfs2x-py | Pure-Python SmartFoxServer 2X protocol implementation | Python, Reverse Engineering |
| hive | Open-source security platform — VirusTotal integration | Go, Security |
Multi-Agent Systems → Stigmergy-based coordination (80% token reduction vs orchestrators)
Protocol Engineering → Binary protocol reversing, game server analysis
Deep RL Pipelines → PPO, Rainbow DQN, Hierarchical RL, Meta-Learning
ML for Trading → Order flow detection, volatility forecasting, sentiment analysis
Core platform repos are private — commercial product in active development.