I build trading systems, agentic infrastructure, and the routing layers that decide who should do the work — a model, a machine, or a person.
🥇 Top 5 of 53 — GenAI Fund Agentic AI Build Week 2026, Founder Mode track, built solo
An operating system for a workforce of humans and AI agents. It decides who should do each piece of work — an AI agent, a human, or an agent that proposes and a human who approves. Every task is routed through an interpretable score, every irreversible action is gated behind a signed human approval, and the system learns which workers to trust from judged, human-confirmed outcomes.
Reputation buys autonomy on reversible work, and buys nothing on irreversible work.
Next.js 16 · TypeScript · Supabase · OpenAI · Langfuse · 60 tests passing
A meta-router for Claude Code. It sits above every workflow system in the stack and decides, per task, which system, which specialist, and which effort tier — then logs the decision and learns from the outcome.
A friendly response to Karpathy's LLM Council: multi-model voting is one useful tool, but routing is the harder problem.
Python · Shell · Markdown
A modular backtesting engine in Rust, built on Polars. Strategies are swappable behind a Strategy trait, execution is realistic (next-bar fills, commission, slippage), and it ships with Kelly position sizing, grid-search parameter optimisation, and walk-forward validation to catch overfitting. Includes a Rust-versus-pandas benchmark.
Rust · Polars · clap
A live Bitcoin trading simulator. Streams real-time price from the Binance WebSocket API, computes SMA, EMA and RSI on the client, and simulates market and limit orders with full portfolio and P&L tracking.
Node.js · Express · vanilla JS · Chart.js
| repo | what it does |
|---|---|
| orchestrator | Prompt generator and router for Claude Code — classifies a task, calibrates effort, picks the system and the specialist, and writes the prompt |
| skill-auditor | Audits a candidate Claude skill for redundancy, routing conflicts and trigger collisions before you install it |
| claude-skills | The hub repo — every skill above, cloneable in one go |
Top 5 of 53 · Founder Mode track · Problem P4, "Human-AgentOS" · built solo
Shipped warrant in a single build day: a closed loop for human/AI workforce allocation. A task arrives with capability requirements and a reversibility flag; a router scores every registered worker on capability match, cost, latency and evidenced reliability; irreversible actions structurally require human authority regardless of reputation; work executes for real, outcomes are judged, and the next identical task routes differently.
Simulated workload, real executions — every execution, score and posterior update is recorded in an append-only evidence log.
CS @ Durham University — going into second year, deep in quant systems, algorithmic trading and agent infrastructure. Building real products alongside the degree, not after it.
Before Durham: 3rd Sergeant, Singapore Army (Military Police) — commanded a 10-man team in high-pressure, compliance-driven environments. Learned to think in systems and manage risk before I knew what those words meant in trading.
I write about crypto, tokenomics, quant and emerging tech on Substack.
Latest: Crypto-Currencies & Tokenomics: Their Relevance in the Next Decade
long distance running ·
street photography ·
specialty coffee ·
guitar ·