Yash Patil/Roles
  • GTHR
    GetherCo-Founder & CEO
  • BREG
    Berkeley Real Estate Investment GroupFounding Analyst
  • EAB
    Entrepreneurs @ BerkeleyFellow

9 in all

  • Opened ()RoleThemes
  • 2026-06Gether

    Co-Founder & CEO
    Accounting, Compliance, Credit & Collateral, Democratized Access, Oracles & Cross-Chain, Payments, Stablecoins & Rails
  • 2026-02Apocor

    Strategy Operations Associate, Cards @ Seismic
    Compliance, Payments, Privacy & Self-Custody, Stablecoins & Rails
  • 2026-01AI Entrepreneurs @ Berkeley

    Builder
    Machine Learning
  • 2025-11Berkeley Real Estate Investment Group

    Founding Analyst
    Credit & Collateral, Democratized Access, Real Estate
  • 2024-12Chainlink Labs

    Blockchain Engineer / Builder
    Democratized Access, Oracles & Cross-Chain, Payments, Stablecoins & Rails
  • 2024-07HootBoard

    Process Optimization / Strategy Intern
    Machine Learning
  • 2023-07Smart Investment Boutique Properties

    Finance / Investment Intern
    Accounting, Real Estate
  • 2022-05Decentralized Exchange Platform

    Solo Developer
    Democratized Access, Payments, Privacy & Self-Custody
  • Entrepreneurs @ Berkeley

    Fellow
    Democratized Access
  • InstitutionProgramStatus
  • University of California, Berkeley

    Haas Spieker Undergraduate Business Program
    Current
  • Berkeley Charter of Professional Accountancy

    CPA track, Honor Roll
    Current
  • James Monroe High School

    Valedictorian
    Complete
  • CompTIA A+ / Network+ / CCST Foundations

    Infrastructure certifications

    Theme

    /

    HOOT

    HootBoard

    Process Optimization / Strategy Intern, 07.2024 to 08.2024, Philadelphia, PA (Hybrid)

    A summer at HootBoard building reinforcement learning models in Python for procurement and product recommendations. The models moved revenue and acquisition cost in the right directions, and I also built some data collection tooling so the team could see supplier trends.

    Detail

    • Role: Process Optimization / Strategy Intern
    • Revenue: +28%
    • Cac: -23%
    • Procurement coverage: +50% avg
    • Tooling: Python, ParseHub

    On the record

    • Directly grew sales revenue 28% and reduced customer acquisition cost 23% by building and implementing reinforcement learning models in Python to optimize personalized procurement and product recommendations.
    • Developed automated data collection and workflow analysis tools using Python and ParseHub to identify supplier trends, improving procurement coverage across manufacturer and client lists by an average of 50%.

    Measured

    • Sales revenue growth: +28% (2024)
    • Customer acquisition cost: -23% (2024)
    • Procurement coverage: +50% avg (2024)

    Skills used here

    Strategy & Operations, Engineering, AI & Machine Learning, Data & Tools, Python, SQL / MySQL, Tableau

    Headlines

    • 07.2024HootBoard. RL models lift revenue 28%, cut CAC 23%

    Connects to

    • AI Entrepreneurs @ Berkeley. HootBoard was the first applied machine learning work. AIEB was the second.
    • Machine Learning. The work was reinforcement learning models for procurement and recommendations.
    • Python. The models were written in Python.
    • SQL / MySQL. The procurement and supplier data at HootBoard lived in SQL.
    • Tableau. Tableau was used to look at the procurement data at HootBoard.
    HOOT