Summary
Chinmay Vadgama is a Software Engineer II in San Jose with 9 years of experience building applied ML, NLP, and knowledge graph solutions for large-scale search and e-commerce systems. At eBay he focuses on query science and domain-specific knowledge graph construction, driving a token-based query rewrite feature that boosted item recall by 150% on average while maintaining neutral relevance. Previously at PayPal he engineered end-to-end time-series feature pipelines and LSTM-based models, plus a reusable Python library for parallel feature generation and Bayesian hyperparameter tuning. His research background from IIT Bombay includes state-of-the-art noun compound interpretation using semi-supervised NLU methods and efficient word-to-sentence retrieval to cut memory needs. Comfortable across Python, Java, Scala, SPARQL and SQL, he blends R&D with production engineering to turn weak signals and open-domain KBs (Wikidata/WordNet) into practical search improvements. Actively seeking opportunities, he brings both academic rigor and measurable product impact to data-driven ML projects.
9 years of coding experience
1 year of employment as a software developer
San José State University
Bachelor’s Degree, Computer Engineering, 3.95, Bachelor’s Degree, Computer Engineering, 3.95 at Dharmsinh Desai Institute of Technology