Denis Yarats
Computer scientist
From Wikipedia, the free encyclopedia
Denis Yarats (born 1987) is a computer scientist and entrepreneur, best known as the co-founder and Chief Technology Officer (CTO) of Perplexity AI, an AI-powered search engine launched in 2022.[1][2]
Denis Yarats | |
|---|---|
| Born | 1987 (age 38–39) |
| Education | Belarusian State University (BA) New York University (PhD) |
| Occupations | Software engineer, tech entrepreneur |
| Known for | Co-founder and CTO of Perplexity AI |
Early life and education
Yarats was born in Gomel, USSR, located in modern Belarus. His father was forking on a tractor factory and his mother was a housewife. He spent his early life there and in Minsk where he obtained bachelor's degree in Belarusian State University in applied mathematics and IT[3]. In 2008 he became a finalist in Google Code Jam, but failed to get emplyed in Google due to poor English skills by then.[4] He received his Ph.D. in computer science from New York University, where his research focused on reinforcement learning and natural language.[5]
Career
After his graduation in Belarus, Yarats moved to Moscow where he worked in Yandex maps as a Software Engineer. In his early career, Yarats held research positions at several institutions, including Facebook AI Research (FAIR).[citation needed] His work during this time focused on developing scalable algorithms for learning and decision-making in complex environments.[6]
Yarats worked in Seattle as a Software Development Engineer at Microsoft from 2011 to 2013, where he worked on the Bing search engine. From 2013 to 2016, he worked at Quora as a Staff Machine Learning Engineer in charge of technical projects, and from 2016 to 2022 he worked as an AI Research Scientist at Facebook AI Research (FAIR, now Meta AI). [5]
Yarats co‑authored Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels (Yarats, Kostrikov & Fergus, ICLR 2021), which introduced the DrQ method using simple image-based data augmentations to enable model-free RL algorithms like SAC and DQN to learn directly from pixels and achieve state-of-the-art results on both DeepMind Control Suite and Atari 100k benchmarks.[7]
Yarats AI research has been cited over 9,115 times. His work has been praised by other researchers, including Yann LeCun, who later became an angel investor in Perplexity AI. [8]
Perplexity AI
In 2022, Yarats co-founded Perplexity AI alongside Aravind Srinivas, Johnny Ho and Andy Konwinski. He met Srinivas during student exchange program in Berkley. As CTO, he led the development of the company's flagship product, an AI powered search engine designed to deliver concise, source-backed answers to user queries.[9] The platform gained significant user traction and investment, with the company securing over $70 million in Series B funding and reaching millions of active users within two years of its launch.[10]