Atul Kumar
Doctoral Assistant at University of Geneva
Lausanne, Vaud, Switzerland
Summary
🤩
Rockstar🎓
Top SchoolAtul Kumar is a PhD candidate and Doctoral Assistant in the Machine Learning Group at the University of Geneva with eight years of industry and research experience spanning deep learning, graph and point-cloud modelling, and generative methods applied to high-energy physics. He blends practical engineering—previous roles at IBM and Visa building production-ready ML pipelines and data platforms—with academic rigor from EPFL and IIT Kanpur. His internships and thesis work at IBM focused on computer vision, graph ML and low-resource NLP, showing a knack for transfer learning and sparse supervision. Based in Lausanne, he bridges foundational research and deployable systems, often translating novel architectures into microservices for fast prototyping. An understated strength is his cross-domain fluency: from Hadoop-scale analytics to cutting-edge geometric deep learning, enabling him to tackle both data infrastructure and algorithmic innovation.
8 years of coding experience
4 years of employment as a software developer
AISSCE, CBSE, Senior Secondary, AISSCE, CBSE, Senior Secondary at DAV Public School, BSEB, PatnaIndian Institute of Technology KanpurMasters, Computer Science, Data Science, Masters, Computer Science, Data Science at EPFL (École polytechnique fédérale de Lausanne)Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of GenevaSecondary, CBSE, Maths and Science, Secondary, CBSE, Maths and Science at Gyan Niketan, Patna
Github Skills (8)
claims7
declare7
machine-learning7
data-science6
deep-learning3
skeleton1
php1
boilerplate1
Programming languages (2)
Github contributions (5)
atulkumarin/DeClare
Nov 2018 - Mar 2019
DeClarE: Debunking Fake News and False Claims using Evidence-Aware Deep Learning
Contributions:15 commits, 2 PRs, 4 pushes in 4 months
declaredeep-learningmachine-learningclaimsfake-news
atulkumarin/ML_course
Oct 2017 - Nov 2017
Contributions:9 pushes in 27 days
pythonfalldata-sciencemachine-learning-coursemachine-learning
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