Rajat Monga

He received a B.Tech. in electrical engineering from the Indian Institute of Technology, Delhi, co-implemented and scaled eBayeBayeBay Inc. is an online marketplace company headquartered in San Jose, California, United States, founded in 1995 by Pierre Omidyar; it started out with person-to-person online auctions and listed on Nasdaq in 1998. As of the end of 2025, it had 135 million active buyers, and its platform’s gross merchandise volume in 2025 was nearly $80 billion.Open the full entry’s search engine, and designed web-scale crawling and content-matching infrastructure at Attributor.⁠[1]

He was chief architect and director of engineering at Attributor, leading its labs and operations and building out the engineering team, and earlier worked at InfosysInfosysInfosys (Infosys Limited) is an information technology services and consulting company headquartered in Bengaluru, India, founded in 1981 by N. R. Narayana Murthy and six others. Listed on Indian stock exchanges and the New York Stock Exchange, it had revenues of $20.158 billion in fiscal 2026 and more than 328,000 employees, and is one of India’s major information technology services companies.Open the full entry and several startups.⁠[2]

He also led engineering at Quova; Attributor was later acquired by Digimarc and Quova by Neustar.⁠[3]

From 2009 to 2011 he built and led a team developing Search Ads products at GoogleGoogleGoogle is an American technology company founded by Larry Page and Sergey Brin and incorporated in 1998. It became an Alphabet subsidiary in 2015. Its businesses include internet search, advertising, software platforms, cloud computing, and artificial intelligence.Open the full entry, and from 2011 to 2014 he was a founding member of the Google Brain team.⁠[4]

At Google Brain he co-created and led DistBelief, Google’s distributed deep learning system.⁠[1]

He co-authored a paper with Quoc V. LeQuoc LeQuoc Le (Vietnamese name Le Viet Quoc) is an artificial intelligence researcher and early member of Google Brain who led the 2012 experiment in which a neural network running on 16,000 processor cores taught itself to recognize cats from YouTube videos, and who helped develop deep learning methods including sequence-to-sequence learning (seq2seq), paragraph vectors, and neural architecture search (AutoML). In August 2026, he left Google with Jeff Dean, Sanjay Ghemawat, and Oriol Vinyals to co-found the AI company Discovery Loop.Open the full entry, Andrew Y. NgAndrew NgAndrew Ng is a British-born computer scientist and AI educator. A former director of the Stanford Artificial Intelligence Lab, he helped found Google Brain and Coursera, served as Baidu’s chief scientist from 2014 to 2017, and later founded DeepLearning.AI, LandingAI and AI Fund.Open the full entry, Jeff Dean and others that trained a nine-layer sparse autoencoder with 1 billion connections on 1,000 machines (16,000 cores) for three days; without labeled data the network learned to detect faces and was sensitive to concepts such as cat faces, reaching 15.8% accuracy on 20,000 ImageNet categories.⁠[5]

He was third author of the NIPS 2012 paper “Large Scale Distributed Deep Networks,” which presented DistBelief, a software framework able to use clusters of thousands of machines, to train a deep network 100 times larger than those in earlier literature.⁠[6]

From 2014 to 2019 he co-founded and led TensorFlow, Google’s machine learning framework.⁠[4]

He was one of the authors of the TensorFlow whitepaper; the system’s API and reference implementation were released as open source under the Apache 2.0 license in November 2015.⁠[7]

In June 2016 he was interviewed on the O’Reilly Data Show as a Google director of engineering managing the TensorFlow engineering team, recalling that when the team started in 2011 “everybody was using stochastic gradient descent.”⁠[8]

In November 2016 he and other Google Brain members, including Martín Abadi, presented a paper at OSDI ’16 describing how TensorFlow uses dataflow graphs to represent computation, shared state and the operations that mutate it, at large scale and in heterogeneous environments.⁠[9]

In February 2017 the TensorFlow team announced TensorFlow 1.0 at the first TensorFlow Developer Summit in Mountain View, when TensorFlow was used in more than 6,000 open-source repositories.⁠[10]

As TensorFlow’s engineering director, he presented traditional machine learning tools such as K-means and support vector machines at the summit, along with prebuilt “canned estimators.”⁠[11]

He appeared on the Lex FridmanLex FridmanLex Fridman is a Soviet-born, US-raised computer scientist and podcast host who works as an MIT research scientist on human-AI interaction and autonomous driving. His Lex Fridman Podcast is known for hours-long conversations with guests including heads of state and technology leaders.Open the full entry Podcast as an engineering director at Google leading the TensorFlow team, in an episode titled “Rajat Monga: TensorFlow.”⁠[12]

He and Varun co-founded Inference.io, a smart business intelligence platform for analysts and business users that combines dashboards with machine learning and automation.⁠[3]

He became CEO of Inference.io.⁠[4]

In December 2024 he was interviewed on The Effortless Podcast as Microsoft’s corporate vice president of AI Frameworks, leading AI software engineering and inferencing infrastructure, and discussed TensorFlow’s impact, the rise of PyTorch and the challenges of building startups.⁠[13]

In April 2026 he appeared on episode 256 of the Engineering Leadership Podcast as Microsoft’s corporate vice president of AI Frameworks, responsible for an efficient AI stack from cloud to edge, and reviewed his path from Google Brain and TensorFlow to Inference.io and Microsoft.⁠[14]

LinkedInLinkedInLinkedIn is a social networking platform for professionals. It was founded in 2002 by Reid Hoffman and others, launched in 2003, and listed on the New York Stock Exchange in 2011; after Microsoft acquired it for approximately $26.2 billion in 2016, it became a wholly owned Microsoft subsidiary. Its revenue comes from membership subscriptions, advertising, and recruitment solutions.Open the full entry: Public profile: https://www.linkedin.com/in/rajatmonga (opens in a new window)⁠[15]