Summary
Venkatesh Ramesh is an Applied AI Scientist with nine years of experience applying deep learning to computer vision and climate science, currently based in Montreal. He has transitioned research prototypes into reusable software at Google and Mila, and now drives AI initiatives at Soma Energy, combining production engineering with scientific rigor. His work spans end-to-end ML systems—large-scale data engineering on CMIP6, physics-constrained emulators for radiative transfer, and geospatial change-detection pipelines—using TensorFlow, PyTorch, Keras and C/C++. Motivated by socially impactful applications, he focuses on biodiversity conservation and climate change, bringing domain knowledge from Terra.do and Mila collaborations with Prof. David Rolnick. Notably, he has delivered high-accuracy detection systems in low-quality surveillance and terabyte-scale distributed pipelines, demonstrating a knack for turning noisy research problems into robust, deployable models.
9 years of coding experience
8 years of employment as a software developer
Master of Science - MS, Artificial Intelligence, Master of Science - MS, Artificial Intelligence at Mila - Quebec Artificial Intelligence Institute
Climate Change: Learning for Action, Climate Change: Learning for Action at Terra.do
Salwan Public School
Bachelor of Technology (BTech), Computer Science, Bachelor of Technology (BTech), Computer Science at SRM IST Chennai
English, Hindi, Tamil, Japanese