Sayak is currently working at PyImageSearch on Computer Vision and Deep Learning. His projects span across a wide variety of topics including model optimization, generative modeling, CRNN architectures, and so on.
Previously at DataCamp, he developed projects (Predicting Credit Card Approvals and Analyze International Debt Statistics), and practice pools (Advanced Deep Learning with Keras). Prior to DataCamp, he worked at TCS Research and Innovation (TRDDC) on Data Privacy. There, he was a part of the cybersecurity research team working on TCS’s critically acclaimed GDPR solution called Crystal Ball.
His subject of interest broadly lies in the area of visual representation learning. He loves open-source initiatives and currently, he is actively contributing to TensorFlow Hub. Off the work, he likes writing technical articles, working on applied Machine Learning ideas, and giving talks at developer meetups and conferences.