Experience

  1. AI Researcher

    Stanford AI Labs
    • Incoming Summer 2025
  2. Co-Director of Engineering

    Ideas 2 Innovation
    • Contributing cross-functionally to 7+ parallel projects, ensuring high code quality & best practices in a team of 25
    • Deployed 4 end-to-end applications over a 6 month period all with 90%+ code coverage and automated deployment pipelines
    • Built robust CI/CD pipelines for testing, styling, & deployment, using 2000+ GitHub Actions minutes over 3 months
  3. President

    Amherst College Quant Club
    • Coordinating meetings & communication for 36 club members, conducting weekly C++ review sessions and trading games
    • Spearheaded the first Amherst Quant Competition with 40+ participants, developing a live trading platform in C++ that executed 10k+ trades in real time
  4. Research Engineer

    IDEAS Lab
    • Engineering RBlocks, a block-based R-programming IDE with React & Firebase for 200+ intro statistics students each year
    • Integrated Google Authentication & Firebase for secure code storage & retrieval for hundreds of users
    • Built an automated CI/CD pipeline integrating Firebase for deployment, ensuring seamless updates & scalability
  5. Artificial Intelligence Research Assistant

    Professor Andrew Wu Research Group
    • Engineering the open source Deep Neural Networks (DNN) verification framework Marabou with C++ & Python
    • Concurrently developing the alpha-beta-CROWN framework, leveraging Pytorch’s CUDA acceleration for parallelization
    • Developed the novel lookahead branching heuristic for branch-and-bound, improving verification time by up to 30%
    • Submitted first-author paper to NeurIPS 2025 on the lookahead branching heuristic to improve branch-and-bound
  6. Business Analyst and VC Extern

    HP (Hewlett Packard) Tech Ventures
    • Researched metrics, industry data, & business models for early-stage AI startups, identifying KPIs, OKRs & market trends
    • Analyzed 6000 rows of data with SQL & Tableau, uncovering underlying time-series trends to guide long-term investments
    • Presented pitch decks recommending 3 high-potential startups, facilitating informed investment due diligence

Education

  1. BA Mathematics and Computer Science

    Amherst College
  2. Breakthrough Tech AI Fellow

    MIT
  3. Certificate in Software Engineering

    CodePath