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Summary

Lead Data Scientist & ML Engineer with experience building production-grade ML systems, AI-powered solutions, and data infrastructure at scale. Passionate about turning complex data problems into high-impact products. Always looking to learn new things.

Experience

Lead Data Scientist / Head of DS & AI

Jan 2023 — Present

GovTech — Singpass

  • Founded & scaled two cross-functional DS/ML/AI teams across Trust & Safety and Data Platform
  • Architectured production-grade ML fraud detection engine achieving 95% precision at 300 QPS
  • Led data, metrics & experiment strategy for 8 nationwide digital products with A/B testing frameworks
  • Built enterprise Agentic RAG solution automating hundreds of queries at precision@k of 96%
  • Built LLM-powered analytics platform for natural-language querying across hundreds of datasets
  • Built & scaled Data Platform from 0 → 1: streaming architecture, ML feature store, experimentation & analytics
  • Pioneered multi-step NLP clustering algorithm for unsupervised detection of issue clusters in unstructured text
  • Developed low-latency multi-objective route optimisation by custom-rewriting Google's OR-tools

Data Scientist

Jan 2022 — Jan 2023

Grab

  • Built LTV Prediction Model using neural networks & custom loss functions, deployed across Grab ecosystem for ROI forecasting
  • Architectured Grab's first automated Impact Estimation platform using pseudo-experimentation for causal analysis without A/B tests
  • Awarded Grab Way award for outstanding performance

Data Scientist Graduate Researcher

Aug 2019 — Apr 2020

Point72 — Commodities

  • Built Vector Auto-Regressive models for oil price prediction with Bayesian optimisation, achieving 18% error reduction from academic benchmark
  • Developed proprietary Energy Demand Index based on hundreds of underlying indicators

Education

M.S. Business Analytics / Data Science

2019 — 2020

Columbia Engineering, Columbia University

GPA 4.0/4.0 — Awarded Graduate Fellowship for top performance

B.A. Politics, Philosophy & Economics

2016 — 2019

University of Oxford

1st Class Honours — Top in College

Skills

Languages & Infrastructure

PythonSQLSparkAWSAzureDockerCI/CD & IaCRESTgRPC

ML & AI

TensorFlowMLOpsLLMsLangchainRAGAirflowVector Databases

Data & Observability

SnowflakeKafkaDatadog (OTEL)