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About Me
Parkway West High School (August 2013 - May 2017)
- Marching Band (Percussion Section)
- Taekwondo
- Tennis
- Speech and Debate Team
- Policy Debate, Humorous Interpretation, Impromptu Speaking, Radio Broadcasting, and Congressional Debate
- 2x National Qualifer, 3x State Qualifer
- National Honor Society
- Mu Alpha Theta (Math)
- Beta Chi Pi (Science)
- Tests of Engineering Aptitude, Mathematics, and Science (TEAMS)
- Short-lived Youtube career
- Parkway West Student Representative
- Car Day
- Tutoring & ACT/SAT Book Flipping Business
- ACT: 34 / 36
- Graduated Summa Cum Laude with Final GPA: 4.15 / 4.0
Washington University in St. Louis (August 2017 - May 2021)
Bachelors Year 1 (August 2017 - September 2018)
- Started in Arts & Sciences School, transferred to McKelvey Engineering School
- Started Brazilian Jiu Jitsu
- Student Technology Advisory Committee
- First Place Washington University Technology Entrepreneurs Hackathon
- Took part in a two-person team competition
- Invented a product and developed a business model for a company in under four hours
- Personal Projects
- Short Squeeze Scanner Personal Project (Summer 2017)
- Scanned pre-market data for NYSE and NASDAQ listed stocks
- Used IEX to collect historical data
- Collected short interest data by scraping FINVIZ
- Modelled which features created large moves on heavily shorted stocks
- Pairs Trading Personal Project (Summer 2017)
- Analyzed correlations between S&P 500 stocks in the same sector ETFs
- Backtested different pairs and parameters for trading strategies
- Sentiment Analyzer (Fall 2017)
- Connected to Twitter & Stocktwits APIs for live data
- Built scrapers for financial news websites such as SeekingAlpha
- Created extractive text summarization and sentiment analysis models
- PredictIt Quantitative Trading (Winter 2017)
- Worked with graduate students to find statistical arbitrage opportunities across prediction markets
- Ziegler Capital (Stifel) Quantitative Research Internship (5/10/2018 - 1/11/19)
- Utilized MySQL databases to organize and analyze historical data
- Used Python to perform regression analysis on financial data
- Built visualization tools in Java
Bachelors Year 2 (August 2018 - September 2019)
- Learned how to Longboard
- Washington University Student Investment Fund
- First Place WUSIF Pitch Competition
- Presented stock investment recommendations on a single stock
- Researched financials, valuation models, risk analysis, sector analysis, recent news, and company management
- Participated in a Q&A session with the members of the club
- Financial Sector Portfolio Manager
- Voted to become one of the six Portfolio Managers within a month of joining
- Managed research and pitches for financial sector stocks
- ThinkOrSwim University Stock Trading Competition (October 2018)
- Led a three person WashU trading team to 14th out of 516 college teams by achieving a 48.43% return in one month
- Washington University Teaching Assistant (1/1/2019 - 5/10/2019)
- QBA 121: Helped students create and analyze regression models
- CSE 530S: Assisted students in implementing a database system from scratch in Java
- Personal Projects
- Co-Founder and President of WashU Trading Club (Started Winter 2018)
- Co-founded a trading club to research and discuss trading opportunities with other members
- Personally funded the club with teaching assistant jobs
- Connected with established trading firms for recruiting and events
- Personal Python Machine Learning Package (Spring 2019)
- Created a package for machine learning algorithms from scratch to better understand and utilize them
- UChicago Midwest Quantitative Trading Competition (April 2019)
- Acted as WashU Team Captain
- Achieved top 10 out of 40 teams in market making and curve trading events
- Contributed to team research through principal component analysis, statistical modelling, and portfolio risk optimization
- Flow Traders Summer Course (May 2019)
- SBB Research Group Software Engineering Internship (5/13/2019 - 8/9/2019)
Contributed Java, PHP, and SQL production code to SBB's proprietary trading software
Bachelors Year 3 (August 2019 - September 2020)
- UChicago Midwest Quantitative Trading Competition (April 2020)
- Acted as WashU Team Captain
- Achieved 3rd in Overall Competition
- Scored 3rd in Futures Market Making, Top 10 in Options Market Making, and Top 10 in Portfolio Optimization
- Designed modified kalman filters, optimized bid/ask widths and quantities, implemented thread pooling, and conducted Mean-Variance optimization
- Belvedere Trading Internship (5/25/2020 - 7/31/2020)
- Junior Trader Summer Internship replaced with Belvedere Trading University due to COVID-19
- Attended options market making classes taught by Belvedere Quantitative Analysts
- Took online classes in price modelling for options, futures, and other derivatives
- Learned about trading messages and syntax for trade communication
- "LP Trading" (Summer 2020)
- Created LP Trading along with another intern and a friend from college as a result of the cancelled Belvedere internship
- Developed a custom API in Python/C++ for connecting to TD Ameritrade and deploying trading algorithms
- Found profitable medium frequency strategies in equities after optimizing valuations, position sizes, and required edges
- Bachelors in Computer Science and Financial Engineering Final GPA: 3.7 / 4.0
Masters (August 2020 - May 2021)
- Masters in Data Analysis and Statistics Final GPA: 4.0 / 4.0
Chicago (May 2021 - )
- DRW Trading (7/19/2021 - 9/16/2024)
- Quantitative Trading Analyst - Semi-Systematic U.S. Equity Index Options Market Making Desk
- Sports Betting / Prediction Markets Statistical Arbitage (Winter 2023 - Present)
- Used lived sports betting market data to find statistical arbitage opportunities across sports books
- Used Kalshi and Polymarket data to find statistical arbitrage opportunities across events
- World Series of Poker 2024 (July 2024)
- Won 1st place in DRW's poker tournament series (7 tournaments total)
- Received an all-expenses paid seat to the World Series of Poker Main Event
- Played until end of day 2 in the Main, but cashed in a different poker event
Workplace Skillset
- Git, Microsoft Office, Google Suite, Slack, Jira
- FactSet, BAML Mercury
- C++, Java, Python, R, MATLAB
- Bash, MySQL
- HTML, CSS, Javascript
- LaTeX, Pine