Nihit Desai is the CTO and co-founder of Refuel.AI, an early stage ML infrastructure startup. Prior to this, he was a Staff Engineer at Facebook where he led ML efforts for content moderation. In prior roles, he has worked on large scale recommender systems at Instagram, and on search quality at LinkedIn. He holds a Masters degree in Computer Science from Stanford, specializing in Artificial Intelligence.
Nihit has a rare set of skills and experiences - building large-scale ML production systems at top companies, along with a solid and rigorous research background. Along with that, he is great at distilling and passing on his hard-won insights and knowledge. I've learned a lot from his newsletter and the talks he's given to large audiences at Upstart - so I know first-hand how valuable and practical this class will be, and can't think of a better instructor!
Nihit has extensive experience building ML systems for recommendations, ranking and integrity problems at Facebook and LinkedIn. His expertise lies not only in developing and improving deep learning techniques but also in working with large scale systems that scale to billions of users. It’s a combination of both these skill sets that makes him a great fit to teach an MLOps course that requires an in-depth understanding of ML fundamentals and the ability to build out scalable systems that deal with constantly growing and ever-changing datasets in the real-world.
Nihit combines a deep theoretical understanding of ML with hands-on practical knowledge from having built large-scale search, recommender, and decisioning ML systems at the most impactful Internet companies. If I had to learn how to go from an idea to a working, scalable ML system, there would be no better instructor than Nihit!
Everything about this course is awesome and exactly what I was looking for. I love how they put into consideration the different levels of experience of participants and set up helpful coding parties. The lectures & content are very detailed. I also learned a lot while trying out the projects, and the community is simply the best. Big thanks to the course manager for checking in and boosting my morale, the TA for leading the weekly coding parties (those were super helpful) and of course, Nihit. Thank you Uplimit!
Amazing course! Addresses well the challenges that exist in the development of a real machine learning pipeline and demonstrates techniques and tools on how to solve it. The community is really helpful!