Saurabh Gawande is a Data Scientist and Feature Lead based in Stockholm with 9 years of experience building production-ready ML and computer vision solutions, currently leading development and deployment of road-friction estimation features at Volvo Cars. He combines deep learning research (CNNs, GANs) with pragmatic MLOps—having built a proof-of-concept lifecycle platform to improve traceability and reproducibility—and has a track record of supervising academic collaborations and a postdoc. His background spans bioinformatics and computational biology to automotive ML, reflecting strong multidisciplinary fluency and a history of applied research that led to three filed patents. Comfortable working across sensor modalities (camera, lidar, microphones), he has delivered systems that reduce false positives in safety functions and integrated generative methods for image enhancement in scientific contexts.
9 years of coding experience
3 years of employment as a software developer
Minor in Entrepreneurship, Entrepreneurship/Entrepreneurial Studies, 9/10, Minor in Entrepreneurship, Entrepreneurship/Entrepreneurial Studies, 9/10 at EIT Digital Academy
Master’s Degree, Data Science, 8.11/10, Master’s Degree, Data Science, 8.11/10 at Eindhoven University of Technology
Master’s Degree, Data Science, 4.5/5, Master’s Degree, Data Science, 4.5/5 at KTH Royal Institute of Technology
Contributions:16 pushes, 1 branch in 3 years 1 month
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