Experience

  1. AI Researcher

    Stanford AI Labs
    • Incoming Summer 2025
  2. 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
  3. Artificial Intelligence Research Assistant

    Professor Andrew Wu Research Group
    • Engineering the open source Deep Neural Network (DNN) verification framework Marabou with C++ & Python
    • Researching the application of reinforcement learning to deterministic branching strategies to improve them in real time
    • Implemented BaBSR branching heuristic to improve ReLU splitting, reducing verification time by up to 31%
  4. Founding AI/ML Senior Software Engineer

    Ideas 2 Innovation
    • Contributing cross-functionally to 6+ parallel projects, ensuring high code quality & best practices in a team of 24
    • Deployed 3 AI/ML projects in 3 months, using Llama 3 & LangGraph to integrate AI agents into products
    • Built robust CI/CD pipelines for testing, styling, & deployment, using 2000+ GitHub Actions minutes over 3 months
    • Committed over 200k lines of code across web & backend systems over a 3 month period
  5. Vice President

    Amherst College Quant Club
    • Leading 2 concurrent quant research projects, coordinating weekly meetings & communication for 36 club members
    • Spearheaded the first Amherst Quant Competition with 40+ participants, developing a live trading platform in C++ that executed 10,000+ trades in real time while playing live news with ElevenLabs API
    • Secured partnership with Summit Securities and Amherst College leading to $1100 in funding
  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