Tech Lead · AI & Data Engineering · Hong Kong
I build enterprise GenAI and data platforms that turn complex workflows into useful, reliable products. Currently at Ekimetrics, previously IBM. Databricks certified and pursuing an MSc in Business Analytics at HKUST.
Website & writing · LinkedIn · Email
- Leading a six-person engineering team delivering AI and data platforms for financial services, insurance, and APAC clients.
- Building across RAG, document intelligence, OCR, natural language to SQL, LLM integration, evaluation, and observability.
- Designing secure, governed cloud and data platforms on Azure, AWS, and Databricks.
- Connecting hands-on engineering with analytics, strategy, and business decision-making.
Selected delivery outcomes include 75% less document processing time, 60% less manual data entry, and pipelines processing 40,000+ daily data points. More context is on my LinkedIn profile.
| Project | About |
|---|---|
| Antarctica Portfolio Recommendation | Next.js application for portfolio analytics, return metrics, and revised asset weights. |
| rakhats.tech | My portfolio and field notes on AI, engineering, tools, and community. |
AI & data: Python · RAG · OCR · LLM evaluation · Databricks
Product engineering: TypeScript · JavaScript · React · Next.js · Node.js
Cloud & delivery: Azure · AWS · Docker · CI/CD · Observability
I share what I learn through CodeSfera, bilingual technical content, interviews, and mentoring. I also serve as Director of Operations on the HKUST MSBA Student Committee for 2026/27.
- Models, workflows, or agents? — a whitepaper I co-authored with Celine Wong.
- Building community at HKUST
- Tech, innovation & homecoming
- All field notes · RSS
Open to conversations about enterprise AI, data platforms, financial services, insurance, Databricks, and technical leadership.