Rishi Nair
About Rishi Nair
Rishi Nair is a Senior Machine Learning Engineer at Drip Capital in Pune, Maharashtra, India, where he has worked since 2022. He has a background in programming, machine learning models, and robotics, with previous experience at companies such as ADP and SmarTek21.
Work at Drip Capital
Rishi Nair has been employed at Drip Capital as a Senior Machine Learning Engineer since 2022. His role involves developing and implementing machine learning algorithms to enhance the company's financial technology solutions. Based in Pune, Maharashtra, India, he contributes to projects that leverage data-driven insights to optimize operations and improve client services.
Previous Experience in Machine Learning
Prior to joining Drip Capital, Rishi Nair worked at SmarTek21 as a Machine Learning Engineer from 2020 to 2022. His responsibilities included designing and deploying machine learning models. He also served as a Member Technical at ADP from 2016 to 2019, where he focused on technical solutions and software development. Rishi began his career at Aginova as an Associate Junior Engineer, gaining foundational experience in engineering.
Education and Expertise
Rishi Nair earned a Bachelor of Engineering (B.E.) in Electrical, Electronics and Communications Engineering from Savitribai Phule Pune University, completing his studies from 2011 to 2015. He possesses proficiency in programming languages such as Python and C++. His expertise includes unsupervised learning models, specifically autoregressive, flow, variational, and GAN models, as well as a focus on reinforcement learning and robotics.
Focus Areas in Machine Learning
Rishi Nair specializes in reinforcement learning and robotics, with a particular interest in simultaneous localization and mapping (SLAM), self-driving technology, and sensor fusion. His work in these areas aims to advance the capabilities of machine learning applications in real-world scenarios, contributing to innovations in automation and intelligent systems.