Durgesh Singh
Ph.D Candidate In Machine Learning
Oslo, Norway
Summary
👤
Senior🎓
Top SchoolDurgesh Singh is a Ph.D. candidate in Machine Learning at UiT Tromsø with 11 years of experience blending research and industry practice, specializing in AI for medical imaging and learning from limited labels. He has led and published work at top venues (ICASSP, NeurIPS, ECCV) and currently has a journal paper under second revision in Pattern Recognition, reflecting a strong track record in translating novel methods into clinically relevant echocardiography solutions. Prior to academia he spent 2.5 years as a System Engineer at Tata Consultancy Services building ML and statistical models for e-commerce and enterprise clients, and he continues to bridge research and production through internships and collaborations including IISc and GE HealthCare. Comfortable across the ML stack, he combines deep theoretical training (M.Tech in Machine Learning) with pragmatic software development in banking, healthcare, and CRM domains. A detail that sets him apart is his focus on actionable solutions for low-label regimes—an approach that accelerates deployment in data-constrained medical settings.
11 years of coding experience
4 years of employment as a software developer
Bachelor of Technology (B.Tech.), Information Technology, 75.1%, Bachelor of Technology (B.Tech.), Information Technology, 75.1% at Institute of Engineering and TechnologyMaster's of Technology, Machine Learning, Master's of Technology, Machine Learning at Indian Institute of Space Science and Technology
English, Hindi
Github Skills (19)
fuzzy-c-means6
shift5
stream4
post-processing4
mean-shift4
python3
archived3
fuzzy2
image-processing2
sounds2
orca2
computer-vision2
flac2
segmentation2
image-segmentation2
Programming languages (3)
Github contributions (5)
Durgesh93/durgesh93.github.io
Jul 2019 - Aug 2020
Contributions:8 pushes, 2 branches in 1 year
rajat95/AHDR-Net-Tensorflow
Sep 2019 - Sep 2019
Contributions:8 commits in 1 day
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