About

Prannay Khosla is a highly skilled Machine Learning professional with a passion for solving real-world problems. With over 3.7 years of relevant experience, he has built large-scale data platforms for modeling and evaluation of ML models across a variety of companies. Currently working as a Model Engineer at Ghost, Prannay applies his expertise in Machine Learning, Computer Vision, and Research Science to develop cutting-edge solutions for his clients. Prannay's career began as a Quantitative Researcher at Citadel Securities, where he honed his skills in data analysis and modeling. He then moved on to work as an AI Resident at Google, where he focused on developing supervised contrastive learning, uncertainty metrics, and activation functions for improved uncertainty estimation. Prannay's experience in both academia and industry has given him a unique perspective on the application of Machine Learning to real-world problems. Prannay holds a Bachelor of Technology (B.Tech.) degree in Computer Science and Engineering from the Indian Institute of Technology, Kanpur. He also attended Delhi Public School, where he developed a strong foundation in mathematics and science. Prannay's technical expertise includes ML, Computer Vision, Research Science, and AI. Prannay is a highly motivated and results-driven professional who is always looking for new challenges and opportunities to grow. He is not interested in crypto trading, investment, or research, but is always eager to explore new areas of Machine Learning and apply his expertise to solve complex problems. With his strong technical skills, deep knowledge of Machine Learning, and passion for innovation, Prannay is a valuable asset to any organization looking to leverage the power of AI to drive growth and success.