About

Leela Krishna C G is a highly skilled SDE - ML at Amazon Advertising with over 7 years of relevant experience. He is a Full-Stack Software Engineer with extensive experience working for a global multinational organization and independent projects. Leela is an experienced researcher in Reinforcement Learning, Machine Learning, Recommendation Systems, Computer Vision, and Deep Learning. He is passionate about designing and developing next-generation AI-driven agents and software products to enhance user experience. Leela has worked as an AI Software Engineer at Johnson Controls, where he developed AI-based agents and applications to create more sustainable buildings and cities. He researched and developed an RL agent to intelligently control the HVAC building systems, resulting in improved operational efficiency and reduced energy consumption costs. He also designed an architecture for a service to allow connectivity between ML models and existing DB services and deployed ML models using docker images with Azure-ML cloud services. At Texas A&M University, Leela worked as a Research Assistant and explored various reinforcement techniques and designs for robotic applications. He executed autonomous safe helicopter landing using Reinforcement Learning and Imitation Learning. He also manually generated data (transitions) from a simulator to create a policy using inverse reinforcement learning, resulting in improving the policy and furthering using aggregation and RL techniques. Leela holds a Master of Science degree in Computer Science from Texas A&M University and a Bachelor of Technology degree in Electrical, Electronics, and Communications Engineering from IIT. He is proficient in various technologies, including ML, Software Engineering, AI, Reinforcement Learning, Computer Vision, Android, Recommendation System, Research Scientist, Deep Learning, Docker, and Azure. Overall, Leela is a highly skilled and experienced professional who is passionate about designing and developing next-generation AI-driven agents and software products towards enhancing user experience.