Devashish Shankar is a Principal Architect currently working at Drishti. He was part of the founding team and has architected and developed a variety of systems including the training pipeline, data platform, the core action recognition model, among others. He has over 8 years+ of experience in Data Science & strong background in Python, Machine Learning & Deep Learning. Currently, he is working on exciting ML problems, including training highly accurate action detection models using as little supervised data as possible, building self-service AI, replacing rule-based heuristics, using end-to-end ML models, among others. He has delivered sessions on Deep Learning in Data Science conferences.
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