Summary
Yash Khemchandani is an SDE-II with eight years of experience building production-grade, scalable systems across telecom, finance, and research domains. He has led development of containerized microservices for 5G RAN intelligence at Samsung and designed dynamic resource-allocation algorithms to improve real-world network performance for operators like KDDI and DISH. His background spans low-latency quantitative infrastructure, cloud TPU training of large language models, and deep learning research in vision, medical imaging and drug discovery, with several publications from his IIT Bombay projects. Comfortable collaborating across multiple countries, he combines strong engineering rigor with hands-on ML expertise to take core project components from research prototype to commercial deployment. Notably, he translated RL and graph-conv techniques into molecule generation pipelines during a University of Liverpool internship, showing a rare blend of systems and scientific ML experience. Based in Bengaluru, he pairs an IIT Bombay (9.63/10) foundation with a track record of shipping impactful, cross-disciplinary solutions.
7 years of coding experience
3 years of employment as a software developer
Indian Institute of Technology Bombay
High School, High School at Bharatiya Vidya Bhavan Vidyashram
English, Hindi, Korean