AI engineer & Computer Engineering + AI student @ HKUST, building agentic LLM systems for real-world products.
Note
I build LLM + tools + workflows so teams can ship AI features faster.
- Agentic systems for fashion-tech, fintech, and analytics
- Practical DSPy / LangChain / RAG setups
- Robust, production-ready apps and tooling
- AI Engineer Intern @ Narrative AI – building agentic workflows for a fashion-tech SaaS that turns design language into structured manufacturing specs at scale.
- Final-year Computer Engineering + AI @ HKUST (grad 2026).
- Maintaining open-source projects around document workflows, agents, and finance tooling.
Languages
AI & Data
Backend
Frontend
Dev & Infra
- 🥉 APRU × Google Tech Policy Hackathon – AI-powered agricultural credit scoring (Agri-Access).
- 🥇 Best Fintech & Most Innovative – PolyHack 2023.
- 🥉 CBSA-Wisers Analytics Challenge @ HKUST – ESG sentiment & climate risk analytics.
| Project | What it does | Tech |
|---|---|---|
| streamlit-editor | LLM-powered editor for technical writing; integrates DSPy + LangChain with a Streamlit UI. | Python, Streamlit, DSPy, LangChain |
| stockchat | DSPy-powered stock analysis agent inspired by Perplexity Finance, using TA indicators and RAG for equities. | FastAPI, React, TypeScript, DSPy, TA-Lib |
| story_crowdsource_preference | Collects story preference data for DPO/reward modelling in creative-writing tasks. | Streamlit, Supabase, PyTorch |
| Project | What it does | Tech |
|---|---|---|
| document-mcp | PyPI package for large-scale Markdown/document tooling in MCP-based agents. | Python, MCP, uv, pytest |
- 📫 Email: [email protected]
- 💼 LinkedIn: linkedin.com/in/clchinkc
- 🔎 Always happy to chat about agentic workflows, RAG, DSPy, LangChain, and shipping GenAI products.



