Raunak Chowdhuri
About Raunak Chowdhuri
Raunak Chowdhuri is the founder of Reducto AI, which is part of the Y Combinator Winter 2024 batch. He has a background in computer science and electrical engineering from MIT and has held various research and leadership roles in the tech industry.
Work at Reducto AI
Raunak Chowdhuri is the Founder of Reducto AI, a company that is part of the Y Combinator Winter 2024 batch. He has been leading the organization since 2023, operating out of San Francisco, California. Reducto AI focuses on developing innovative software solutions, leveraging Chowdhuri's extensive background in machine learning and artificial intelligence.
Education and Expertise
Raunak Chowdhuri studied Computer Science and Electrical Engineering at the Massachusetts Institute of Technology (MIT), where he is pursuing a Bachelor of Engineering (BE) from 2020 to 2024. He completed his high school education at Westview High School, earning his diploma from 2016 to 2020. His educational background provides a strong foundation for his work in technology and research.
Background in Research and Development
Chowdhuri has a diverse background in research and development, having worked in various roles across notable institutions. He served as a Machine Learning Research Lead at Carnegie Mellon University and as a Research Assistant at MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL). His experience also includes positions at MIT Lincoln Laboratory and Oloren AI, where he contributed to machine learning and autonomous driving projects.
Previous Work Experience
Prior to founding Reducto AI, Raunak Chowdhuri held several significant positions in the tech industry. He worked as a Machine Learning Researcher on the Perception Team at MIT Driverless and as a Verification Consultant at DeGirum Corp. Additionally, he interned at NVIDIA, focusing on autonomous driving research, and served as Chief Technology Officer (CTO) at Oloren AI for three years.
Advocacy for Open Science Principles
Raunak Chowdhuri advocates for open science principles within the technology sector. His commitment to transparency and collaboration in research aligns with his professional experiences and reflects his approach to innovation in software development and machine learning.