About

Gautam Bajaj is a Strategic Cloud Engineer at Google with extensive experience in software engineering and architecture. He specializes in distributed systems, Deep Learning (RL), and deploying ML at scale. With over 11 years of relevant experience, Gautam has worked with some of the biggest names in the tech industry, including Teradata and Square Enix. At Teradata, Gautam served as a Senior Software Engineer, where he worked on AI/Data/ML Engineering. He later moved to Square Enix, where he worked as an AI Engineer. His research included curiosity-based exploration in a stateless/rewardless environment, quality assurance automation in a 2D environment, and reinforcement learning. Gautam also has experience working with libraries such as TensorFlow, OpenAI Gym, OpenCV, Qt, and win32api. He is proficient in C++11 and Python3.6. Gautam holds a Bachelor of Technology (B.Tech.) degree in Computer Science and Engineering from the International Institute of Information Technology. He is fluent in both Japanese and English, with a Japanese Language Proficiency Test certification of N1. Aside from his professional work, Gautam enjoys advising startups and is always happy to lend his expertise. He is an active member of the tech community and has a Github account where he shares his work and contributions to various open-source projects. Gautam's tech stack includes AI, ML, Deep Learning, Software Engineering, Reinforcement Learning, Computer Vision, OpenCV, QA, C++, Research Scientist, and TensorFlow. With a passion for technology and a drive to innovate, Gautam is a valuable asset to any team.