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Harshit Surana
CTO at Chaos Genius (YC W20) | O'Reilly Author | Hiring Data & ML Engineers
About
Harshit Surana is a highly accomplished and experienced technology professional with over 12 years of relevant experience in the industry. Currently, he is serving as the Co-Founder and CTO of DeepFlux, a company that leverages alternative data and machine learning to boost revenues. The organization's 100M+ data signals are utilized by Fortune 500 and leading organizations such as Disney and Tata. Harshit is also the CTO at Chaos Genius, a Y Combinator-backed startup. Before joining DeepFlux, Harshit worked as an author at O'Reilly Media, where he authored the book "Practical Natural Language Processing," which became the #1 new release on Amazon and was endorsed by leaders from Google DeepMind, Microsoft, and Amazon. He has been working on NLP since 2006 and has built and scaled NLP at Google AI, Microsoft Research, and MIT Media Lab. Harshit has also served as a technical advisor and consultant to various early and late-stage startups in the US and India, spanning industries such as media, data, and consumer IoT. Harshit has a Master of Science degree in Computer Science from Carnegie Mellon University and a Bachelor's in Technology degree in Computer Science from VIT. He also completed his undergraduate thesis from IIIT Hyderabad. Harshit's technical skills include Senior Software Engineering, ML, NLP, AI, and Research Scientist. Harshit is an exceptional leader with a passion for building great teams. He is always on the lookout for full-stack and ML engineers who are looking for meaningful work and want to join a great team. If you are interested in joining DeepFlux, you can reach out to him at harshit@deepflux.io.
Education Overview
• carnegie mellon university
• iiit hyderabad
• vit vellore institute of technology
Companies Overview
• allen institute for ai ai2
• openlocus
• chaos genius
• oreilly media
• various
• deepflux
• notify.io
• quipio
• mit media lab
• carnegie mellon university
Experience Overview
13.2 Years
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