• Taught CPSC 223 - Data Structures & Programming Techniques (Ozan Erat and Alan Weide), the largest computer science class at Yale, covering concepts and practical applications of essential data structures, coding strategies, and analyzing/implementing algorithms in C and C++• Wrote automated testing scripts to assist in assessing student programming assignments (Bash)• Hosted weekly drop-in office hours and review sessions open to the course’s enrollment (~300 in Spring 2023, ~200 in Fall 2023, ~150 in Spring 2024)

• Managed an 8-person case team working with a Fortune 500 sportswear company to optimize client’s supply chain responsiveness by compiling in-depth case studies on 10+ competitor firms and identifying 20+ industry trends and strategies

• Produced market entry strategy for a Fortune 50 tech company including 20+ feature proposals targeting user pain points• Conducted data analysis and market segmentation using Pandas and NumPy to identify potential customer base for client

• Advised venture capital firm on market trends and investment opportunities in commercial EVs, batteries, and carbon trading

• Implemented features and bug fixes on Yale’s premier course information site with 6000+ active users and 5000+ courses• Utilized React.js, TypeScript, and CSS to develop a frontend interface with search, filtering, and scheduling capabilities• Leveraged Docker for development, testing, and deployment, ensuring efficient back-end infrastructure management

• Implemented and designed user features on TikTok Effect House (TTEH), a platform for creating and publishing AR effects to TikTok, utilizing a tech stack including React, TypeScript, Node.js, and C++ for graphics engine development• Led technical development on TTEH’s AI Art feature, including improving app performance through leveraging V8 engine optimizations, redesigning image generation algorithms and effect production pipelines, and adding new capabilities• Optimized AIGC algorithm update speed and pipeline architecture, accelerating client-side server requests by 25%, reducing timeout frequency by 4x, and achieving a 0% overall failure rate for updates across the entire pipeline• Overhauled the backend architecture and logic for TTEH’s AI Art feature and redesigned the UI to support the launch of new AIGC styles in collaboration with XFN GenAI (Seed) and server-side teams, resulting in a 2.5x increase in available styles.

• Researched multicollinearity between causes of stress and burnout among Cleveland Clinic caregivers • Selected out of 100+ total interns to present project findings at clinical research fair• Analyzed 30+ interview transcripts of kidney transplant recipients to identify racial disparities in treatment processes• Administered over 100+ complementary health screenings during annual Minority Men’s Health Fair