• Software Engineer on the Growth team

• Founding engineer for C3 Generative AI, contributing to the core design and development of the product,

evolving it from concept to a fully functional and marketable solution.

• Designed a robust document chunking service to efficiently segment large documents for optimized storage in a vector store, improving data retrieval and search performance speeds by 40%.

• Developed a real-time text streaming feature that reduced time to first token to under 1 second. Implemented incremental rendering techniques, allowing users to interact with text as it is generated rather than waiting for the full output.

• Integrated a CI pipeline to automate testing and improve developer efficiency. Continuously optimized said pipeline, cutting build times down by 50%, saving the company in money and development hours.

• Built a component testing framework using React Testing Library and implemented coverage reporting to ensure that all UI elements were thoroughly tested, improving code quality and reducing bugs in production.

• Collaborated closely with cross-functional teams, including product managers, UX designers, and data scientists, to align technical efforts with product goals and user needs.

UCI Esports is the gold standard in collegiate esports, motivated by core values in competition, academics, community, entertainment, and careers.

• Managing 15 players competing in LoL/OW by booking scrimmages and organizing player/team schedules

• Facilitating communication between players and staff to ensure that team operations run smoothly

• Producing gaming related conferences, tournaments, community engagement events, and student involvement initiatives in order to promote gaming culture and raise program exposure across campus

• Software Engineer Intern on the Linear Dynamics team

• Developed custom automation scripts using Python to streamline Finite Element Analysis workflows, reducing simulation setup time by 10%.

• Implemented a runtime prediction feature in C++ to accurately forecast rendering times for 3D modeling simulations, allowing better resource planning for users.

• Integrated unit tests into existing Python scripts used for simulation setup, improving test coverage by 10% and reducing bugs in production

#TLWIN