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Omkar Savant
Product Manager at Adept AI
Omkar Savant is a professional with a passion for and expertise in transportation, autonomous vehicles, robotics, and aerospace. He boasts a rich educational background, having studied at Bellarmine College Preparatory, the University of Pennsylvania, and the Wharton School. At the University of Pennsylvania, he obtained a Bachelor's Degree in Economics as well as a Bachelor's Degree in Mechanical Engineering, and a Master's Degree in Robotics.
Omkar has also gained valuable work experience throughout his career. He is currently an Associate Product Manager for Lyft, which involves overseeing product development for the ride-sharing company. Prior to Lyft, he served as a Robotics Research Intern at NVIDIA and as a Corporate Development and Investment Management Intern at The D. E. Shaw Group. He has also held various engineering internships at Google as well as the role of Research Assistant at GRASP Lab at Penn Engineering.
An avid GitHub user, Omkar takes a hands-on approach to his work, and is always eager to learn and explore new technologies. His broad range of skills and interests make him a valuable asset to any team in the fields of engineering, robotics, and transportation.
Highlights
Happy to share that I recently joined Adept AI Labs, a startup working on an intelligent assistant that can use any software tool. Check out the demo here: https://www.adept.ai/act
We're growing our engineering team quickly and are looking to hire software, research, and frontend engineers. This is a really exciting time for the company as we prepare to onboard our first users, and you'd work with a strong team from top AI groups like Google Brain, DeepMind, and OpenAI. Please reach out if you or someone you know might be interested! (Note that we work in-person in San Francisco)
This article has a great profile of the company's founding: https://lnkd.in/gUbstMmQ
Hey all - I am looking for a Data Scientist to join Lyft's Real-Time Supply Management team!
We are in charge of the first things that drivers see when they open their apps. In this role, you would design and develop real-time driver incentive products and the continuous experimentation and budgeting frameworks to optimize spend across them. You ship robust production code and iterate quickly on our optimization programs, machine learning models, and/or causal inference frameworks. You’re also trusted to collaborate cross-functionally with other product teams. You also influence platform engineers who understand the data scientist’s needs and want to craft a good model development and maintenance experience.
If you are interested in transportation and incentive design problems (or know someone who would be a good fit), please reach out. Lyft is now a fully flexible workplace, so you decide where to live and work.
Experience in practical machine learning or causal inference is required
