Apoorva Shete

Apoorva Shete is a skilled software engineer with experience in various prestigious organizations, including Falconer and American Express. At American Express, Apoorva designed and developed payment transaction message types across microservices, optimizing processing latency for over 10 million transactions daily. Apoorva's expertise extends to machine learning as demonstrated during an internship at the International Finance Corporation, where fine-tuned RoBERTa achieved 91.3% accuracy for sentiment analysis in financial data. Additional roles at the University of California, Davis, involved assisting in teaching and web development, while earlier positions included app development and web development internships. Apoorva holds a Master's degree in Computer Science from the University of California, Davis, and a Bachelor's degree in Electronics and Telecommunications Engineering from Thadomal Shahani Engineering College.