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AI/ML Research Engineer — Singapore
A*STAR · Advanced Remanufacturing and Technology Centre (ARTC)
I build end-to-end AI solutions — from Multi-modal models, Multi-Agent Systems and MCP-servers to the production apps and platforms that put them in engineers' hands.
A multi-stage hybrid framework that fuses vision-language models with structured post-processing to interpret multi-view engineering drawings — automating a slow, error-prone manual reading task and feeding clean, structured data into downstream manufacturing systems.
Read paperAn end-to-end vision-language framework that turns 2D engineering drawings into structured, machine-readable manufacturing knowledge — bridging legacy design documents and modern downstream automation and decision-making.
Read paperA fine-tuned Document Understanding Transformer that extracts structured information from complex engineering documents — the kind of extraction pipeline that lets LLMs reliably fetch, query, and reason over dense technical documentation.
Read paperContributing to a team building a mobile app for the Catholic community in Malaysia — bringing Mass timings, parish directory, events, daily readings, and announcements into one place.
Secured first runner-up position among 11 participating teams from a wide variety of disciplines at NTU.
Achieved second place out of over 50 participating teams from various educational institutions in Singapore.
Led a team of 8 individuals in the development of an affordable AAC device, resulting in enhanced communication capabilities for Aphasia patients and a positive impact on their mental well-being.