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Gurnoor Singh
ML Research @ Contextual AI | IITB CS’23
About
Gurnoor Singh is a highly motivated and talented individual with a passion for computer science and machine learning. He is currently pursuing a Bachelor of Technology degree in Computer Science from the prestigious Indian Institute of Technology, Bombay. With an impressive academic record, Gurnoor ranked AIR 22 in JEE Adv. 2019, showcasing his exceptional skills and knowledge in the field of computer science. Gurnoor has gained valuable experience as a Software Intern at D.E. Shaw, where he has worked on various software engineering projects. He is proficient in a range of programming languages and has a strong understanding of machine learning algorithms. Gurnoor is also adept at using various tools and technologies related to machine learning, including TensorFlow, Keras, and PyTorch. Currently, Gurnoor is working as a Teaching Assistant for the Foundations of Machine Learning course at IIT Bombay. He has also worked as a Teaching Assistant for Computer Programming and Utilization and Computer Networks courses in the past. Gurnoor is passionate about teaching and is committed to helping students learn and grow. Gurnoor's technical expertise and passion for computer science make him an ideal candidate for any software engineering or machine learning role. He is well-versed in a range of programming languages and has hands-on experience with various machine learning technologies. With his strong analytical skills and attention to detail, Gurnoor is an asset to any team.
Education Overview
• uc san diego
• cole polytechnique fdrale de lausanne
• iit bombay indian institute of technology bombay
Companies Overview
• contextual ai
• abacus.ai
• indian institute of technology bombay
• arcesium
• csec iitb
• insight iit bombay
Experience Overview
0.7 Years
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