Dhanesh Ramachandram
Adjunct Professor at Vector Institute
Old Toronto, Ontario, Canada
Summary
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Senior🎓
Top SchoolDhanesh Ramachandram is an AI and deep learning researcher with 9 years of experience applying advanced computer vision and ML to healthcare, wound imaging, and medical image analysis. Currently an Adjunct Professor at the University of Guelph and Health Lead at the Vector Institute, he blends postgraduate teaching and research co‑supervision with industry leadership in Clinical AI. Previously he led Clinical AI R&D at Swift Medical, building production-ready, mobile-friendly deep learning pipelines for wound and skin lesion segmentation and classification used at scale. His academic work—rooted in a PhD in Computer Vision & Robotics—includes multimodal fusion, self-supervised learning, and publications that ranked top entries in ISIC challenges, reflecting a rare mix of rigorous research and product deployment experience. Notably, he focuses on explainable, lean models for healthcare where ethical, legal, and practical deployment constraints are central to design.
9 years of coding experience
18 years of employment as a software developer
Ph.D Computer Vision & Robotics, Ph.D Computer Vision & Robotics at Universiti Sains Malaysia
English, Malay
Github Skills (31)
markdown10
python10
data-science10
machine-learning10
ml10
deep-learning10
tensorflow10
deep-neural-networks10
jekyll10
neural-network10
github-pages9
gitpod9
keras6
theano6
linux5
Programming languages (6)
Github contributions (5)
dhaneshr/tensorflow-resources
Sep 2016 - Nov 2017
Contributions:89 commits, 87 pushes, 1 branch in 1 year 2 months
dhaneshr/docker-rfs
Oct 2024 - Dec 2024
Limb Amputation Risk Prediction: Serving R model using FastAPI and Docker using HTTPS interface
Contributions:21 PRs, 13 pushes, 1 branch in 1 month
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