Sukesh Adiga
AI Research Scientist at Vope Medical
Montreal, Quebec, Canada
Summary
👤
Senior🎓
Top SchoolSukesh Adiga is an AI research scientist and PhD-level machine learning researcher based in Montreal with 11 years of experience focused on medical image analysis, computer vision, and real-time image restoration. He combines strong academic credentials—including a top-ranked PhD with awards for work on uncertainty in medical image segmentation—with applied R&D that spans synthetic data, domain adaptation, and generative diffusion models for obstructed surgical views. His background bridges industry systems engineering (media pipelines and low-power audio at LG) and cutting-edge research at ÉTS, Mila, and CVIT, enabling rapid translation of research prototypes into clinically relevant tools. With multiple publications in top journals and conferences and competitive awards and travel grants, he brings both rigor and demonstrated impact in challenging, safety-critical imaging problems. An underappreciated strength is his cross-domain fluency: he can navigate low-level systems constraints and high-level probabilistic modeling to build practical AI solutions for medical settings.
11 years of coding experience
8 years of employment as a software developer
Bachelor of Engineering (BE), Electrical, Electronics and Communications Engineering, Bachelor of Engineering (BE), Electrical, Electronics and Communications Engineering at Sri Jayachamarajendra College Of EngineeringDoctor of Philosophy - PhD, 4.3/4.3, Doctor of Philosophy - PhD, 4.3/4.3 at École de technologie supérieureMS by Research, Medical Image Processing, 8.43/10.0, MS by Research, Medical Image Processing, 8.43/10.0 at International Institute of Information Technology Hyderabad (IIITH)4.3/4.3, 4.3/4.3 at McGill University
English, Kannada, Tulu, Hindi
Github Skills (11)
data-science9
python9
tensorflow9
machine-learning9
deep-learning9
pytorch9
jax8
neural-network7
denoising6
fingerprint5
pulseaudio1
Programming languages (1)
Github contributions (5)
adigasu/FDPMNet
Jul 2018 - Mar 2019
Fingerprint denoising M-net
Contributions:17 commits, 2 PRs, 15 pushes in 8 months
fingerprintdenoisingm-net
adigasu/Utility
Jul 2015 - Jan 2022
Contributions:13 pushes, 2 tags, 1 issue in 6 years 7 months
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