Rishi Nair
About Rishi Nair
Rishi Nair is a Senior Machine Learning Engineer with a focus on reinforcement learning and robotics, including SLAM, self-driving technology, and sensor fusion. He has a background in programming and holds a Bachelor of Engineering in Electrical, Electronics and Communications Engineering from Savitribai Phule Pune University.
Work at Drip Capital
Rishi Nair currently serves as a Senior Machine Learning Engineer at Drip Capital, a position he has held since 2022. His work focuses on advanced machine learning applications, particularly in reinforcement learning and robotics. Nair's role involves leveraging his expertise in areas such as SLAM, self-driving technology, and sensor fusion to enhance the company's technological capabilities.
Previous Experience in Machine Learning
Before joining Drip Capital, Rishi Nair worked at SmarTek21 as a Machine Learning Engineer from 2020 to 2022. His earlier experience includes a three-year tenure at ADP as a Member Technical from 2016 to 2019 and a five-month position at Aginova as an Associate Junior Engineer in 2015. These roles contributed to his development in machine learning and engineering.
Education and Expertise
Rishi Nair earned a Bachelor of Engineering (B.E.) degree in Electrical, Electronics and Communications Engineering from Savitribai Phule Pune University, completing his studies from 2011 to 2015. His academic background laid the foundation for his expertise in machine learning, particularly in unsupervised learning models, including autoregressive, flow, variational, and GAN models.
Technical Skills and Proficiencies
Rishi Nair is proficient in programming languages Python and C++. His technical skills are essential for developing and implementing machine learning algorithms and models. Nair's focus on reinforcement learning and robotics showcases his ability to work with complex systems and technologies.