About Me.

Life is a Picture, But We Live in a Pixel.

All cards on the table, face up, all the time.

• I’m a senior Machine Learning Scientist at GoDaddy. I work on dynamic pricing and building Generative AI products for millions of entrepreneurs to fuel their business growth and productivity.
• Previously, I was a Machine learning applied scientist at Amazon science. I was part of the Advertising Trust team at Amazon Bangalore, India. Built large-scale ML systems catering 10 lakh ads per day in Ad moderation.

• I was graduate student at IIT Madras pursuing MS by research in Computer Science. I worked with Prof. Balaraman Ravindran(IIT Madras) and Prof. Sriraam Natarajan( The University of Texas at Dallas) in the intersection of Reinforcement Learning and Statistical Relational Learning. My thesis got published as a long paper at the top tier AI conference AAAI’21.

• My interests lie in machine learning, particularly reinforcement learning and deep learning, and applying the concepts to solve real-world problems in personalization, finance, healthcare, automation, and human capital management.

• I hold a Bachelor’s Degree in Information and Communication Technology from School of Engineering and Applied Science, Ahmedabad University, Ahmedabad, India, where I was advised by Prof.Ratnik Gandhi and Prof.Sanjay Chaudhary.

• I was a research & development intern at ezdi India in the field of machine learning. I was part of an undergraduate deep-learning research group at Ahmedabad University.

• I hail from the world heritage city of Ahmedabad, India. Visit Myself page on “A little bit about myself” - Life/interests outside of work.

Recent Updates

• April 04, 2024 Invited as a guest speaker to deliver a talk titled “Charting a Path: Navigating the AI and Machine Learning Landscape” and interact with sophomores at Ahmedabad University.Presentation Slides
• Oct 03, 2023 Joined GoDaddy AI as a Senior Machine Learning Scientist.
• May 31, 2021 Joined Amazon Science as a Machine Learning Scientist.
• February 9, 2021 Presented the work “Relational Boosted Bandits”(accepted at AAAI’21) at 9th RBCDSAI workshop on Recent Progress in Data Science and AI. You can find the recorded talk HERE
• February 6, 2021 Invited as guest speaker to present “Hands-on Machine Learning” at Programming Club, Ahmedabad University

• February 6, 2021 Invited as guest speaker to present “Introduction to Clustering” at VIT Mathematical Chapter

• December 2,2020 The work “Relational Boosted Bandits” was accepted as full paper at AAAI 2021.Pre-print

• August 22, 2020 The workshop paper “Relational Contextual Bandits” was accepted at 2020 REVEAL: Bandit and Reinforcement Learning from User Interactions, ACM Recommender Systems

• August 5, 2020 Selected for Google AI Summer School, hosted by Google Research India. I’m one of the 150 recipients among thousands of applications. The summer school was held from 20 august to 22 august 2020.

• July 27, 2020 Invited as guest speaker to present “Introduction to Deep Reinforcement Learning and Applications” at Clique community: A project-based community for women in STEM

• November 20 - December 5, 2019 Lab Instructor and tutor, Reinforcement Learning Crash Course Workshop for DRDO scientists at IITM Research Park.

• January 7, 2019 The paper “A Service-Oriented Human Capital Management Recommendation Platform” was accepted at 2019 Annual IEEE International System Conference(SysCon)

• August 5, 2018 The paper “Correlated data generation using GAN and its Application for Skill recommendation” was accepted at DSHCM (colocated with ECML PKDD’18)

• July 9, 2018 Joined MS by research program in the Computer Science Department at IIT Madras, advised by Prof. Balaraman Ravindran.