About
Stanford CS & Bioengineering student with experience in AI, machine learning, and quantitative finance. I've managed ML systems handling $14MM in assets and achieved +15% YoY returns through RNN-based prediction models.
My work spans financial forecasting, DNA computing, and specialized AI implementations. I'm passionate about using technology to solve complex problems in finance and computational biology.
Experience
Intelneuron LP
As the only developer in the team, I trained RNNs with $14MM in assets under management that predicted the performance of the S&P 500 daily; automated the data retrieval of various commodities, stocks, and macro data; and built the compute cluster to train and serve the AI model, lowering compute costs and reducing backtesting running time from 15 days to 5.
Outcomes: +15% returns year over year, expanded from $2.3MM to $14MM AUM
Duke University Reif Laboratory
The Reif Group works on devising leading-edge DNA computers to meet the world's future energy and storage needs. As an intern, I developed ML and DNA computing models; Cut DNA structure illustration time by ~95%; Developed nucleotide sequence generation software (pSequin) used in the lab daily.
Outcomes: 95% reduction in DNA structure illustration time, created daily-use software
Innovacol Foundation
Taught NLP, computer vision, and time-series forecasting through 2-month-long courses; Programmed the website; Brought host speakers and students from Google, NASA, MIT, and Stanford.
Projects
S&P 500 Prediction Model
RNN architecture for market pattern recognition achieving +15% YoY returns. Automated data pipeline with real-time macro indicators. Deployed on optimized AWS infrastructure.
pSequin DNA Sequence Generator
Software for nucleotide sequence optimization used daily in Duke's Reif Lab. Reduced sequence design time by 95% through machine learning algorithms.
ML Compute Cluster Optimization
Redesigned AWS architecture for ML workloads, reducing backtesting time from 15 days to 5 and significantly lowering compute costs.
ProductionLogik iOS App
Production management system developed for Sony Pictures as sole iOS developer, streamlining media production workflows.
Education
Stanford University | 2024-2028
B.S. Computer Science, Bioengineering
Relevant Coursework: Deep Learning for Computer Vision, Deep Reinforcement Learning, AI Principles and Techniques, Probability for CS
International Olympiad in Informatics (IOI) | 2020, 2022, 2023
First Place National Informatics Olympiad. Iberoamerican Olympiads Representative: 2x Informatics.
International Mathematics Olympiad (IMO) Training Camps
15th Place (T12) National Mathematics Olympiad. Iberoamerican Olympiads Representative: 1x Mathematics.