Summary
Siya Kamboj is a Machine Learning Researcher and Project Lead from UC San Diego with nine years of technical experience building production-ready systems that bridge research and field deployments. She has led cross-disciplinary bioacoustic projects with National Geographic and Gorongosa, designing end-to-end unsupervised pipelines using autoencoders, clustering, and heterogeneous graph transformers to generate testable ecological hypotheses. As a backend lead she rewrote inference code in Rust, optimized SQLite schemas, and shipped a desktop app used by ecologists in San Diego and Kenya, balancing performance engineering with user-driven design. Siya also mentors and manages teams of undergraduates while developing reusable Python tooling so domain scientists can run complex analyses locally. Her background spans full-stack integrations, database optimization, and applied ML research—an unusual combination that lets her move projects from prototype to field-tested impact.
9 years of coding experience
University of California, San Diego
High School Diploma, High School Diploma at Moreau Catholic High School
English, Hindi, Spanish