Summary
Tejasvi Tomar is a software engineer based in Mountain View with 7 years of experience building scalable ML-driven and full-stack systems, currently at Google. He has a strong background in applied machine learning and systems engineering from roles at Cisco, ECMWF, Unilever, and multiple AI startups, where he delivered everything from global deep-learning fire-prediction models to production route-optimization and face-recognition pipelines. Tejasvi bridges research and production: he’s experienced in convolutional architectures, time-series preprocessing, algorithmic topology optimizations, and modular API design, and routinely Dockerizes and documents work for reproducible deployment. His internships produced measurable impact—speeding up network deployments, shaving potential logistics costs, and achieving state-of-the-art or high accuracy on challenging vision datasets. Comfortable across React, Python, REST APIs, cloud platforms (Azure), and containerized workflows, he focuses on making complex systems reliable and extensible. Colleagues would note his curiosity for squeezing performance from large datasets and his knack for turning academic models into production-ready tools.
7 years of coding experience
Bachelor of Technology - BTech, Bachelor of Technology - BTech at Indian Institute of Technology, Guwahati