Devavrat Tomar
SWE III, AI ML, Agent Platform
Zurich, Zurich, Switzerland
Summary
👤
Senior🎓
Top SchoolDevavrat Tomar is a computer vision researcher based in Zurich with nine years of experience building ML systems across industry and academia, now focusing on anomaly detection in manufacturing at Cerrion. He completed a PhD at EPFL in data-efficient machine learning and medical image analysis after advanced studies at ETH Zürich and IIT Guwahati, blending strong theoretical grounding with production-minded engineering from multiple roles at Adobe. His research spans vision-language and foundation models, self-supervised learning, and domain adaptation, with a practical bent toward deploying robust, data-efficient solutions in real-world settings. Notably, his trajectory bridges long-term research during a doctoral program with earlier hands-on software development and ML internships, giving him rare fluency in both prototyping and scaling vision systems.
9 years of coding experience
8 years of employment as a software developer
Bachelor of Technology (B.Tech.), Electronics and ELectrical Engineering (major) Computer Science (minor), Bachelor of Technology (B.Tech.), Electronics and ELectrical Engineering (major) Computer Science (minor) at Indian Institute of Technology, GuwahatiDoctor of Philosophy - PhD, Data Efficient Machine Learning, Computer Vision, Medical Image Analysis, Doctor of Philosophy - PhD, Data Efficient Machine Learning, Computer Vision, Medical Image Analysis at EPFLMaster's degree, Data Science, Master's degree, Data Science at ETH Zürich
Github Skills (25)
robustness6
generative-adversarial-network6
image-manipulation5
pattern-recognition4
image-translation4
computer-graphics4
computer-vision4
medical-image-segmentation4
style-transfer4
image-generation3
medicine3
data-processing3
uncertainty3
visual-recognition3
data-augmentation3
Programming languages (2)
Github contributions (5)
epfl-ada-2018/Project_dev_hak_deep
Nov 2018 - Apr 2020
Contributions:9 pushes in 1 year 4 months
devavratTomar/sasan
Feb 2021 - Mar 2021
Contributions:4 commits in 26 days
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