Saurabh Gawande
Data Scientist & Feature Lead
Stockholm, Stockholm County, Sweden
Summary
👤
Senior🎓
Top SchoolSaurabh 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.
10 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 AcademyMaster’s Degree, Data Science, 8.11/10, Master’s Degree, Data Science, 8.11/10 at Eindhoven University of TechnologyMaster’s Degree, Data Science, 4.5/5, Master’s Degree, Data Science, 4.5/5 at KTH Royal Institute of TechnologySavitribai Phule Pune University
Swedish, Hindi, English
Github Skills (8)
image-reconstruction10
convolutional-neural-networks10
generative-adversarial-network10
super-resolution10
perceptual-losses10
image-generation9
deep-learning9
computer-vision9
Programming languages (1)
Github contributions (5)
Saurabh23/mSRGAN-A-GAN-for-single-image-super-resolution-on-high-content-screening-microscopy-images.
Jun 2017 - Jan 2018
Generative Adversarial Network for single image super-resolution in high content screening microscopy images
Contributions:160 commits, 116 pushes in 7 months
generative-adversarial-networksuper-resolutiongenerative-adversarial-networksperceptual-losseshigh-content-screening
Saurabh23/Continious-Integration-for-Machine-Learning
Jan 2019 - Feb 2022
Contributions:16 pushes, 1 branch in 3 years 1 month
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