I don't just use AI tools. I build the systems behind them.
- Multi-agent memory architectures with persistent graph knowledge and cross-agent sharing
- Autonomous trading engines with real money, real returns, real risk management
- Full-stack platforms from database to deployment — API, frontend, infra, CI/CD
- Automation pipelines — lead scoring, workflow sequencing, CI/CD, cron-driven trading loops
- Live AI systems that generate content in real-time with zero human intervention
Drift Agents — Cognitive Multi-Agent Memory System | Live
Multi-agent AI with wake/sleep cycles, trust-tier decay, Q-value re-ranking, and affect state tracking. GraphRAG pipeline with typed relationship traversal across 10,947 graph edges in Neo4j. Cross-agent memory sharing with real-time retrieval. n8n workflow automation piping agent outputs into The Nerve Radio.
Python FastAPI PostgreSQL pgvector Neo4j Claude API n8n
Kalshi Weather Bot — Autonomous Trading Engine
Fully autonomous prediction market bot. +159% ROI ($1,591 profit) on $1,000 in 8 days — 76W/74L across 150 settled trades. GFS ensemble forecasting, quarter-Kelly position sizing, order book liquidity verification.
Python GFS Forecasts Kalshi API
Latency-critical order book with 5 parallel strategies. Lock-free order book via DashMap, RSA-PSS auth, momentum + surge reversion strategies. Built in Rust for sub-millisecond operations.
Rust async/tokio Kalshi API
Full-stack competitive platform with 88 API endpoints across 15 route modules. ELO ranking, matchmaking, tournament brackets. Automated weekly code audits via GitHub Actions + Claude Code agents.
Next.js FastAPI PostgreSQL
The Nerve Radio — Live AI Broadcast System | Live
Zero to live AI radio station in 1 day. Multi-agent commentary from named personas, on-the-hour news retrieval, everything generated live. Custom audio pipeline: Spotify > VoiceMeeter > ffmpeg > Liquidsoap > Icecast > browser.
Python Claude CLI OpenAI TTS Liquidsoap Icecast Docker Spotify API
Whistleblower Workbench — Federal Fraud Detection | Live
ML pipeline over 82,000+ federal records. OIG exclusion records, Medicare payments, USASpending.gov contracts. Risk scoring with z-score alerts and cross-reference logic.
Next.js 15 FastAPI PostgreSQL XGBoost
OpenClaw — Open Source Contribution
Fixed gateway crash-loop affecting 43,000+ restarts at 340MB/cycle. Fast-fail port probe (<1ms detection) before heavy initialization + systemd burst limits. 13 commits, 86 additions, 13 review comments.
Languages: Python, TypeScript, JavaScript, Rust, SQL Frameworks: FastAPI, Next.js, React, PyTorch AI/ML: Claude API, LLM Orchestration, Multi-Agent Systems, MCP, RAG, GraphRAG, XGBoost, Whisper Databases: PostgreSQL, pgvector, Neo4j, Redis Infra: Docker, Railway, Vercel, GitHub Actions, Icecast, Liquidsoap, S3, Cloudflare Tunnels
- Swarm methodology — break work into parallel streams, run multiple AI agents on independent subtasks, integrate outputs
- Zero to production in days, not months — every project above has a live deployment or verifiable commit history
- 9 production systems shipped end-to-end: architecture, backend, frontend, deployment, monitoring
- I build with AI, not just about AI — Claude Code is my daily driver, not a demo