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Master of Science (M.S.)
Bachelor of Social Science (B.Soc.Sci.)
2020
2022
Building ML systems to serve customers at scale. Advising execs and teams on how to solve the right problems with the simplest solution. Educating the Org on ML, RecSys, LLMs. • Designing and shipping centralized LLM systems for new GenAI customer experiences: - Built and deployed guardrails (e.g., content-safety, factual inconsistency) for customer-facing apps. - Built retrieval, clustering, and caching systems, improving output & reducing cost by 80%. - Building finetuning pipeline for task-specific LLMs (e.g., summarization) to address legal/privacy concerns, eliminate dependency of 3rd-party APIs, improve performance, and reduce costs by 90%. - Led the use of LLMs to accelerate and nearly complete a three-year roadmap within a year. • Shipping ML & recommender systems to help customers discover, buy, and read more books: - Built bandit ranker to explore-exploit with sparse feedback; increased CTR XX% and profit $Y mil. - Designed labeling queues to collect ground-truth via strategies for precision, recall, coverage. • Educating & advising organizational leadership and teams as part of Generative AI Working Group.
2020 - 2022
• Built real-time candidate retrieval for recommendations and search; increased units and revenue by XX million, improved search metrics by Y%, 8,000+ queries/sec, p99 latency < 25ms, low cost (<2k monthly). • Prototyped interactive tag-based discovery for books; launched on Amazon detail page and Kindle app. • Incremental RecSys improvements: Added serendipity & book length preferences; +XX million in revenue.
2021
2021
• Iterating on AI systems, amplifying teams: https://www.aiteratelabs.com • How to build successful LLM products: https://applied-llms.org • Papers, guides, and interviews with ML practitioners: https://applyingml.com
2018 - 2019
2018 - 2019
uCare.ai aims to make healthcare more efficient and reduce cost. Winner of Frost & Sullivan's 2019 Innovation Award and accredited by the Singapore government. Predicted chronic diseases with 80% recall & 50% precision. Wanted to work with insurers to improve insurees’ health & reduce claims; they wanted us to identify who was healthy to sell them more insurance. Shipped hospital bill prediction system for Southeast Asia’s largest healthcare provider; 60% model improvement over prior system,24/7 uptime, 99% SLA, sub-second latency (http://bit.ly/ucarexparkway). Also: pitching, hiring, ML strategy, community engagement, internal tooling (shortened dev cycle by 60%)
2015 - 2018
2017 - 2018
Lazada is Southeast Asia's largest e-commerce platform; acquired by Alibaba in April 2016. - Facilitated organizational & technological merger between Lazada and Alibaba. Built & led a team of 20+. Engaged execs on data & ML roadmap. Systems we shipped include: - Search and RecSys improvements: Increased CTR and conversion by ~30% - Push notifications: Increased open-rate and add-to-cart by 10%, reduced opt-out rate, increased DAU - Delivery forecasting: Migrated from R to Python and shortened model refresh cycle by 5x - Internal newsletter: Increased business’ understanding of ML, spurring more collaboration on projects
2015 - 2017
Built scalable ML systems across 6 countries, improving business outcomes and user experience, including: - Product ranking: Increased conversion by 5-8% and revenue by 15 - 20% - Product classifier: 95% top-3 accuracy, 200+ queries/second, reduced manual effort >95%, cost by >50% - Search intent API: Increased search CTR by 3-5%, 400+ queries/second - Review classifier: >95% precision, >85% recall, reduced manual effort and cost by >90%
2013 - 2015
2014 - 2015
Job demand forecasting & internal job RecSys; reduced attrition, reduced compute time by 90%.
2013 - 2014
Social media analytics for global brand, anti-money laundering for global bank, supply chain for IBM.
2011 - 2013
2011 - 2013
Negotiated the Trans-Pacific Partnership, Singapore-Taiwan FTA, and Singapore-India FTA review.
2008 - 2011
2008 - 2011
Contributed to 2 academic papers and several conference presentations.
2009 - 2009
2009 - 2009
Set up 1-Caramel (a patisserie and café); broke even within 6 months.