A Little About Me
Research Engineer at Harvey AI
Drummer, Guitarist, Martial Artist, and Amateur Gymnast
Previous Involvements
UC Berkeley M.S. in Electrical Engineering and Computer Science (EECS). I was advised by Professor Kannan Ramchandran and am affiliated with the BAIR and BASICS labs.
UC Berkeley triple major B.A./B.S in Computer Science, Business Administration, and Statistics with a minor in Data Science
- Certification in Entreprenuership and Technology
- Relevant Coursework
Algorithm Developer Intern at Hudson River Trading | Jun 2023 - Aug 2023
- High Frequency Trading and ETF Arbitrage Desks
Software Engineer at an anonymous Avalanche-based DeFi Startup, with over $1 billion TVL at peak | Jun 2022 - Aug 2022
Head of Professional Development of Traders at Berkeley | Jan 2021 - May 2024
- Currently leading new member integration and education
- Previously President, where I ran the club as a whole and overhauled our Intro to Quant Finance Course, with over 150 students per semester
- Previously Head of External, where I interfaced with sponsors to help run the Berkeley Trading Competition
- Previously Development Lead, where I led and mentored 5 developers in designing a CLI-based market-making game
Founder and President of Poker at Berkeley | Aug 2023 - May 2024
Founder and President of Web Development at Berkeley | Mar 2020 - May 2024
- Founded UC Berkeley’s first web-development focused organization, and was president for 3 semesters
- Taught development and design to over 2000 students through education initiatives
- Worked with over 30 startups and nonprofits as clients
- Created a community of over 70 developers, creatives, and entreprenuers
Course Staff for Stat 135: Concepts of Statistics and IEOR 241: Risk Modeling | Feb 2022 - May 2023
Quantitative Trading Intern at IMC Trading | Jun 2022 - Aug 2022
- Equity Options - Focus Desk
Quant Consultant at Blockchain at Berkeley | Feb 2022 - May 2022
- Worked with osmosis.zone on a solution to decrease impermanent loss for liquidity providers
Teaching Assistant at the UC Berkeley EECS Department for CS 198-112, Introduction to Algorithmic Thinking and CS 198-099, Introduction to Full-Stack Development | Jun 2022 - Aug 2022
- Founded and Ran Intro to Full-Stack Development, growing it to over 200 students per semester
- Helped create content and run the Leetcode 101 course, preparing students for software engineering interviews
Quantitative Strategies intern at Goldman Sachs in the New York City Office | Jun 2022 - Aug 2022
- Implemented new risk controls and sped up NSFI risk calculations by ~95%
Member of the board of directors for Carepath, a nonprofit connecting parents of children with mental disorders | Feb 2022 - May 2022
Product manager at Launchparty, a startup aiming to empower student entrepreneurship | Feb 2022 - May 2022
Frontend lead for Resource 19, a platform aiding hospitals in the fight against COVID-19 | Feb 2022 - May 2022
- Mentioned in an article by VMWare CEO Pat Gelsinger
- Mentioned in an article by the UC Berkeley EECS department
- Confirmed the donation of 95,000+ masks and 6,000+ face shields, and 70+ PPE design uploads
Founder and President of Cloud at California | Feb 2022 - May 2022
Software Engineer at Hyperspec AI and the Netic Corporation | Feb 2022 - May 2022
Research Assistant and Software Developer for the Northwestern University high-energy physics department under the Geraci research group | Feb 2022 - May 2022
- Aided in work towards the discovery of dark matter as part of the ARIADNE project
Sales at Blue Raven Solar | Feb 2022 - May 2022
Technical Skills
AI/ML Researcher, Software Engineer, Web Developer, Data Scientist, and Problem-Solver.
Specializations: AI/ML, Data Science, Web and Mobile Development
General Programming: Python, Java, C, JavaScript
Frontend Development: HTML/CSS, JavaScript, TypeScript, React.js, React Native, Next.js
Backend Development: Python, Node.js, Express, MongoDB, PostgreSQL, REST APIs
DevOps: AWS, Git, Systems Architecting
Design: Figma
Relevant Coursework
Computer Science and Electrical Engineering
CS 298: LLM Safety and Interpretability
CS 285: Reinforcement Learning
CS 281A: Statistical Learning Theory
CS 182: Neural Networks
CS 189: Machine Learning
CS 188: Artificial Intelligence
CS 170: Algorithms
CS 191: Quantum Computing
CS 194: Decentralized Finance
CS 198: Algorithmic Thinking
Data 100: Principles and Techniques of Data Science
EECS 127: Optimization Models
EECS 70: Discrete Mathematics and Probability Theory
CS 61C: Computer Architecture
CS 61B: Data Structures
CS 61A: Structure and Interpretation of Computer Programs
EECS 16A: Designing Information Devices and Systems I
EECS 16B: Designing Information Devices and Systems II
Data 8: Foundations of Data Science
Statistics, Math, and Physics
Math 191: Putnam Seminar
Stat 155: Game Theory
Stat 153: Timeseries
Stat 151A: Linear Models
Stat 150: Stochastic Processes
Data 140: Probability for Data Science
Stat 135: Concepts of Statistics
STAT 198: Introduction to Quantitative Finance
Physics 137A: Quantum Mechanics
MATH 54: Linear Algebra and Differential Equations
Business Administration
UGBA 196: Leading With Impact
UGBA 180: Real Estate
UGBA 107: Business Ethics
UGBA 106: Marketing
UGBA 105: Leadership
UGBA 104: Business Analytics
UGBA 103: Finance
UGBA 102B: Managerial Accounting
UGBA 102A: Financial Accounting
UGBA 101B: Macroeconomics
UGBA 101A: Microeconomics
UGBA 100: Business Communication
UGBA 10: Data and Decisions
UGBA 10: Principles of Business
Econ 1: Introduction to Economics