I am a Machine Learning Engineer at Google working on research and engineering for large-scale models powering YouTube's Watch Next recommendations.
I graduated with Ph.D. in Machine Learning at Georgia Tech, advised by Prof. Juba Ziani. I am passionate about large-scale sequential models, generative recsys and search systems. Check out my publications and writings for more!
During my PhD, I had to opportunity to intern as an MLE intern at Pinterest, Applied Scientist at Amazon and as an MLE at Keysight.
Recent News
- March 2026: Successfully defended my PhD thesis on Recommender Systems with Fairness Considerations and Strategic Agent Dynamics (Slides | Recording | Thesis). Looking forward to what’s next!
- Feb 2026: Our paper, Last-iterate Convergence for Symmetric, General-sum, 2×2 Games Under The Exponential Weights Dynamic got the best student paper award at ALT 2026! This work was led by Guanghui Wang
- September 2025: Joined Amazon as an Applied Scientist Intern in the Pricing Science team this Fall — working on grounded LLM explainability for pricing decisions.
- Excited to share that I’ll be presenting our paper, GLoSS: Generative Language Models with Semantic Search for Sequential Recommendation, at OARS@KDD2025
- May 2025: Joined Pinterest as a Machine Learning Engineer Intern on the Ads Candidate Generation team.
- Feb 2025: Our paper, Producers Equilibria and Dynamics in Engagement-Driven Recommender Systems has been accepted at TMLR 2025.
- Jan 2025: Our work, Improving Minimax Group Fairness in Sequential Recommendation is accepted at ECIR 2025! This is work I led during my internship at Amazon.
Experience
- Applied Scientist Intern, Amazon — Pricing Science (Fall 2025)
- Machine Learning Intern, Pinterest — Ads Candidate Generation (Summer 2025)
- Applied Scientist Intern, Amazon — Shopping homepage personalization (Fall 2024)
- Machine Learning Intern, Keysight — ML Explainability (Summer 2023)
- Research Intern, LIG — Fairness in Ad Auctions (Spring 2020)
Education
- Ph.D. in Machine Learning, Georgia Institute of Technology
Sep 2021 - April 2026
- Master's in Computer Science, École Normale Supérieure de Lyon, France
Sep 2019 - Aug 2020
- B.E. in Computer Science, BITS-Goa, India
Aug 2015 - Dec 2018
Awards
- Kiplinger Fellowship (Fall 2021, Spring 2022)
- University of Lyon Scholarship of Excellence (Fall 2019, Spring 2020)
- Merit Scholar, BITS Pilani (2015, 2016)
Teaching
- TA, ISyE 4803: Online Learning and Decision Making (Spring 2024)
- TA, ISyE 2027: Probability with Applications (Spring 2022)
- TA, ISyE 3133: Engineering Optimization (Fall 2021)
Academic Service
Reviewer: AAAI, ICML, ICLR, KDD, NeurIPS, UAI.