Atul Sahay

I am a seasoned professional with a strong background in Machine Learning, NLP, and Computer Vision, showcased through my work as a Research Assistant. My experience at Microsoft, combined with active participation in the IIIT Kalyani Alumni Council, reflects my commitment to technology and community engagement. Holding a Master's from IIT Bombay and a Bachelor's from IIIT Kalyani, where I achieved Gold Medalist and President's Award status, underscores my dedication to academic excellence. My certifications and skills highlight expertise in 'Data Mining,' 'Algorithm Design,' 'Leadership,' and 'Research & Development,' positioning me for success in roles requiring these capabilities.

• Department Rank - 3 in M.Tech Computer Science and Engineering.
• Secured AIR 72 amongst 1,50,000 students in BARC CSE Examination.
• Received Best Paper award for various research papers presented at International Conferences.

• Webcam Based Eye Gaze Tracking Using a Landmark Detector (Proceedings of the 10th Annual ACM India Compute Conference, 31-37)]
• [Best Paper] Comparing Two Webcam-Based Eye Gaze Trackers for Users with Speech and Motor Impairment
  (Research into Design for a Connected World. Smart Innovation, Systems and Technologies, vol 135. Springer, Singapore)
• Designing an Affordable System for Early Defect Detection Using Image Processing (Advances in Manufacturing Technology XXXIII: Proceedings of the 17th ICMR
• [Best Paper] A Type-Specific Attention Model For Fine Grained Entity Type Classification (Presented in 7th International Conference on Advanced Computing, Networking, and Informatics [ICACNI - 2019] )
• Unsupervised Learning of Explainable Parse Trees for Improved Generalisation (2021 International Joint Conference on Neural Networks (IJCNN). IEEE, 2021)
• Rule Augmented Unsupervised Constituency Parsing (Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021)