Grace Cai
World Model Systems Engineering Intern at University of Maryland
San Francisco Bay Area United States
Summary
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Senior🎓
Top SchoolGrace Cai is a computer science and physics double major at UMD who blends hands-on software engineering with physics-driven research, currently interning on NVIDIA’s AV World Model Systems team while researching micro-mobility vehicle simulation under Prof. Ming Lin. With two summers at Uber building multimodal generative-AI tooling and a track record of improving model recall and integrating RAG pipelines, she moves fluidly between ML, computer vision, and full-stack engineering. She led a 10-person team to a finalist finish in xFoundry’s School Safety Xperience by shipping a CUDA-accelerated PyTorch weapon-detection app and developing go-to-market materials—evidence of both technical depth and startup instincts. Comfortable prototyping end-to-end systems (React/Expo front ends, Go backends, vector DBs), she also mentors young coders and brings product-minded research to practical safety and autonomy problems.
9 years of coding experience
1 year of employment as a software developer
Bachelor of Science - BS, Computer Science and Physics, Bachelor of Science - BS, Computer Science and Physics at University of MarylandHigh School Diploma, High School Diploma at Los Altos High School
English, ChineseProgramming languages (3)
Github contributions (5)
Seanrk06/ForgetMeNot
Mar 2022 - Apr 2022
Contributions:9 commits, 3 PRs, 4 pushes in 14 days
gracelcai/gracelcai.github.io
Mar 2022 - Dec 2023
Contributions:22 pushes, 2 branches in 1 year 8 months
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