I build systems that think. From production RAG pipelines used daily by research scientists, to LLM-powered compliance platforms, to geopolitical intelligence tools trained on a decade of global data — I close the gap between what AI can do and what people actually need.
Merit Scholar · Minors: AI & Digital Humanities · Specialisations: FinTech & Data Analytics
I'm a final-year Computer Science & Design student at SUTD, specialising in AI systems and data engineering. My core interest is the space where machine learning meets production infrastructure — building pipelines that don't just work in notebooks, but in the real hands of real people.
Two internships at Procter & Gamble's Singapore Innovation Center shaped how I think about ML work: I benchmarked retrieval architectures to identify the optimal RAG setup for internal R&D, built Text-to-SQL systems enabling 50+ non-technical scientists to query complex research databases, and developed multimodal databases linking visual and sensory attributes with generative AI. Useful, actually deployed, measurably impactful.
My projects reflect the same range: a geopolitical intelligence platform with production LightGBM classifiers trained on 11 years of GDELT data; an enterprise lead management system with a security-first AI chatbot; an NLP study proving translation pipelines destroy emotional meaning in Singlish. I also hold a Minor in Digital Humanities — and yes, I have used Voyant Tools corpus analysis to validate a literary theory argument about Plato and Beckett.
I'm actively looking for full-time roles in AI/ML engineering, data science, or full-stack development. Singapore-based but open to relocation globally. If you're working on something interesting — reach out.
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