Agentic AI Product Lead for Threat Hunting

Defence Science and Technology AgencyJan 2021 – Present

Agentic AI Product Lead for Threat Hunting

  • ProblemDays of manual hunt planning
  • My roleProduct direction, architecture, and team delivery
  • OutcomePlanning reduced from days to hours

Spearheaded the design and implementation of a LangGraph-based agentic threat-hunting solution. Orchestrated ReAct and external A2A agents with defined tool access, guardrails, and analyst review points. Led the context engineering and evaluation needed for reliable performance on a local LLM in an on-premise environment while reasoning over large volumes of telemetry.

  • Product direction
  • Multi-agent systems
  • LangGraph

Also at DSTA · Jan 2021 – Present

Cloud Anomaly Analytics

Led the development of custom analytics to detect anomalous activity across AWS and Microsoft 365 environments. Partnered with cross-functional stakeholders to define use cases, evaluate data science approaches, and operationalise validated methods as repeatable analyst workflows within strict data-handling and disclosure constraints.

  • ProblemIdentifying meaningful deviations in high-volume cloud activity
  • My roleAnalytics roadmap, technical direction, and delivery
  • OutcomeNew detection capabilities in daily operational use
  • AWS
  • Microsoft 365
  • Behavioural baselining
  • Detection engineering
  • Python

Early career Internships

ShopeeData Science InternApr 2020 – Nov 2020 · 8 mos
Singapore

Multilingual Product NLP

Built models that predicted product attributes across five Southeast Asian languages.

  • NLP
  • Multilingual ML
The LeagueData Science InternAug 2019 – Apr 2020 · 9 mos
San Francisco, USA

Fraud & Risk Detection

Built a risk model that cut manual profile review by 70%, plus alerts for 20+ business metrics.

  • Fraud modelling
  • Product analytics
NUHSData Science InternDec 2018 – Jul 2019 · 8 mos
Singapore

Clinical NLP & Readmission Prediction

Predicted 30-day readmissions, automated clinical text extraction, and created realistic synthetic data.

  • Clinical NLP
  • Synthetic data
Earlier projectsHackathons and showcases
BrainHack 2022 virtual command centre
June 2022

BrainHack CDDC

Helped organise and plan a cybersecurity capture-the-flag event as part of its management committee.

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Devil's Whisper technical showcase title card
June 2021

Devil's Whisper

A technical showcase explaining adversarial audio attacks on smartphones and smart-home devices.

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Hack4Climate team after winning the data-science category
March 2019

Hack4Climate

First place in the Yale-NUS Datathon data-science category for an environmental responsibility story.

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