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Report abuseSoftware Engineer at TikTok building AI infrastructure and backend platforms in Go and TypeScript.
I work on agent runtimes, tool servers, distributed services, data systems, and the interfaces engineers use to ship AI features safely. I built my team's shared AI platform from zero — an A2A + LangGraph runtime, a Go MCP server, and a React chat SDK — now in daily use by operations teams across the US, SEA and UK. Before the AI infrastructure role I spent 18 months on promotion and seller backends in Go and gRPC across 13+ markets.
Alongside the day job I ran Compoze, a one-person AI solutions company, on nights and weekends, and sold it to one of its clients in 2025.
Personal site · LinkedIn · Email
A Python decision system that combines official transaction data, algorithmic scoring, and AI-assisted qualitative research for Singapore condo analysis.
Python data pipelines algorithmic scoring AI agents
My terminal-inspired recruiter site, with selected work, a browser and print-friendly resume, and an archive of university projects.
Next.js React Chakra UI Vercel
Most of my production work is proprietary. The public repositories above show how I structure systems, document decisions, and turn ambiguous personal problems into working software.
| Repository | Language | Last commit |
|---|---|---|
| sg-property-analysis | Python | v3.11: three-score system — Valuation + Livability axes + purpose-wei… · 2 months ago |
| groundplane | Python | Add four relational checks: ordering, aggregates, entities, row integ… · today |
Generated from my pinned repositories and their latest commits by a GitHub Action I run when the pins change. Source: scripts/update-readme.mjs.
Singapore condo decision system — URA transaction data, algorithmic scoring, and AI-agent qualitative research into one comparable score per property.
Python
Deterministic fact boundaries for agent output — fails the build when a model's structured output asserts something its tools never produced.
Python
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