Experience

Stealth AI Startup

Software Engineer Intern

Palo Alto, CA

Feburary 2026 - May 2026

  • Built custom connectors for a production-grade web crawling system, enabling consistent data collection across 40+ consumer platforms by reverse-engineering private APIs through HAR analysis and tracing authentication flows to surface hidden data endpoints.
  • Eliminated brittle browser automation by enabling a network interception system that captures auth tokens, cookies, and API responses from live browser traffic, enabling a clean handoff to lightweight HTTP-based scraping.
  • Automated the connector file development pipeline using spec-driven development, exposed through a single command, cutting new connector build time from days to minutes.

PT GTech Digital Asia

Data Science Intern

Jakarta, Indonesia

May 2025 - August 2025

  • Led redesign of a production fraud detection system, replacing rule-based logic with a multi-model anomaly detection framework aligned with business risk definitions
  • Reduced flagged fraud cases from ~1,000/day to ~130/day (≈86% reduction), saving ~200 analyst hours/month and significantly improving investigation precision.
  • Designed and deployed three independent anomaly detection modules (transaction volume vs. distance, anomalous location behavior, suspicious point transfers) using Python
  • Researched and documented feature selection techniques for unsupervised models, improving model interpretability and stability in the absence of labeled fraud data

Funding Societies

Software Engineer Intern

Remote

May 2023 - August 2023

  • Built an automated reporting pipeline, converting chatbot voice interactions into personalized financial report PDFs, enabling small business users to access loan insights without manual processing.
  • Developed internal tooling to extract and expose real-time release metadata via GitHub Actions API, eliminating manual version tracking across engineering teams.
  • Deployed backend services using AWS Lambda, making data accessible on-demand across internal tools.
  • Owned and deployed an internal dashboard (Appsmith) for system monitoring, enabling IT teams to independently view and refresh operational data without engineering support.