Summary
Shreya Chakraborty is a Machine Learning Engineer with nine years of experience applying ML to impactful medical imaging problems, currently working in the Bay Area. She has led end-to-end development and deployment of pathology models—achieving pathologist-level performance across multiple out-of-distribution datasets and rolling production systems into 10+ US labs. Her work spans designing pan-IHC foundational tissue models, graph neural networks for semi-supervised teacher-student training, and practical MIL improvements, grounded in a Johns Hopkins MS and a strong research background. She combines a careful, problem-first mindset with hands-on productionization experience and a track record of publishing and presenting at ML-for-Health venues. A less obvious strength is her blend of mentorship and community-building—reviving an ML journal club and co-mentoring interns—helping teams learn as they ship.
9 years of coding experience
5 years of employment as a software developer
Bachelor of Engineering (B.E.), Electronics and Telecommunication Engineering, Bachelor of Engineering (B.E.), Electronics and Telecommunication Engineering at Jadavpur University
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Johns Hopkins Whiting School of Engineering
English, Hindi, Bengali