About

Ritesh Agarwal is a highly skilled software engineer with over 14 years of experience in the internet/software industry. He has a proven track record of building and optimizing user-facing products with O(B)+ active users. Currently, Ritesh is a Research Scientist at Microsoft Research India, NLP Summer School, working on identifying paradigms for words in Hindi Language and studying their morphology. Ritesh's expertise lies in machine learning-based modeling to improve user satisfaction and retention. He is well-versed in technologies such as ML, Deep Learning, Search, Reinforcement Learning, AI, and infra. Ritesh has a Master's degree in Computer Science from the Indian Institute of Technology, Kanpur. Prior to his current role, Ritesh has worked with top-tier companies such as Yahoo and InMobi. At Yahoo, he was a Senior Software Engineer in the Advertising Technology Group, where he automated bidding within campaigns by efficiently spending the budget based on advertiser's objectives. He also worked on deciding the relative display frequencies of creatives in an ad group, maximizing performance. At InMobi, Ritesh was a Senior Software Engineer in the Core Mobile Ad Serving System, where he designed ways to effectively utilize post-click metrics from advertiser pages and implemented a feedback loop into the ad-server using such events to boost up 'Advertiser Return on Investment' and network eCPM. In addition to his work experience, Ritesh has a strong educational background, with a Master's degree in Computer Science from the Indian Institute of Technology, Kanpur. Overall, Ritesh Agarwal is a highly skilled software engineer with extensive experience in the industry. He is passionate about using his expertise in machine learning-based modeling to improve user satisfaction and retention.