Malvern, Pennsylvania, United States
Hey! I'm Jeffrey, a Computer Science student at Yale University. My current interests are in deep learning and game development.
• Developed future sets for Teamfight Tactics, the largest PC strategy game globally with 300 million+ lifetime players. • Upgraded item selection system to accept dynamic data and UI types, making many new gameplay features possible. • Utilized C++ to create new components and workflows for Hextech Engine, Riot’s proprietary game engine. • Facilitated collaboration across design, UX, and art teams to define scope and execute on intern project. • Led intern team at Riot hackathon, winning an award honorable mention from Riot leadership out of over 60 teams.
• Drove project to analyze and predict metrics for expanding on-page ads, impacting $20 million+ yearly revenue. • Collaborated with stakeholders across many different teams and roles to understand project goals and data pipelines. • Utilized SQL and Python to navigate and draw conclusions from databases containing 1 billion+ user data points. • Won 1st place out of 20 teams in intern innovation challenge by ideating and prototyping furniture assembly assistant.
• Developed full-stack application for B2B customer support chat agent rolled out to 50+ small businesses. • Developed complete natural language RAG pipeline, allowing chat agent to interface with domain-specific knowledge. • Created Express and Flask APIs to serve natural language agent, aiming to reduce customer response load by 40%. • Leveraged AWS Computing technologies, MySQL, HTML/CSS/JS, Flask, Express, Milvus.
• Built molecular large language transformer model with multimodal contexts for general molecular analysis tasks. • Constructed novel dataset for molecular text/graph analysis for 160k+ molecules, more than 10x previous benchmarks. • Co-authored paper presenting state of the art NLP model performance. Accepted to the ISMB 2023 conference. • Leveraged AWS Computing technologies, MySQL, Unix/Shell Scripting, and CUDA to expedite research process.