Carter
Tran
Research Engineer working on ML systems, evaluation, and scaling.
Selected Work
Fermilab
Working on machine learning and reinforcement learning algorithms for control systems and particle physics.
Amazon
Worked in Amazon Prime - Membership Growth. Learned a lot about AWS and scalable systems.
UC San Diego Health
Fine-tuned foundational EEG Transformer model for real-time seizure detection and discovered quantitative biomarkers using EEG and EMG data.
Triton Quantitative Trading
Led machine learning initiatives, winning multiple trading competitions.
Featured Projects
IMC Prosperity 3
Developed algorithmic trading strategies for IMC's Prosperity 3 competition, placing 9th globally and 2nd in the USA with a peak ranking of 2nd globally. Implemented various strategies including market making, statistical arbitrage, and options pricing with Black-Scholes model.
FASTER
Automated an ETL pipeline with OpenRouter API for integrating LLM domain knowledge into the AutoML paradigm. Validated performance of generated features using XGBoost and scikit-learn models across 3 benchmark datasets.
Outperforming the Index
Developed an interactive data visualization website for equity data using Next.js, Tailwind CSS, and D3.js.
Let's Connect
Always interested in new opportunities, collaborations, and conversations about technology and design.