Summary
Cibi Senthilkumar is an Applied Scientist with nine years of experience building production ML and software systems, currently at Amazon in Seattle. He blends deep expertise in NLP, recommendation systems, and graph-based models with hands-on engineering—recently delivering a private GPT product with vector search, encrypted storage, and an internal code-interpreter that saw rapid adoption. His background spans research and industry, from a 4.0 MS in Applied Data Science at USC to internships that produced graph neural network recommenders and lifelong learning research. Known as a competitive programmer and chess player, he pairs algorithmic rigor with product-minded execution, often turning prototypes into scalable services. Notably, he has delivered measurable performance gains—such as a 7x improvement in a feedback recommender and UI load reductions through architecture and optimization work.
9 years of coding experience
4 years of employment as a software developer
Master of Science - MS, Applied Data Science, 4.0 / 4.0, Master of Science - MS, Applied Data Science, 4.0 / 4.0 at University of Southern California
Bachelor of Engineering - BE, Computer Science and Engineering, 9.54 / 10, Bachelor of Engineering - BE, Computer Science and Engineering, 9.54 / 10 at College of Engineering, Guindy