I am a founding member at Pavo AI, where we are building the world's smartest AI employee to handle complex data reasoning and end-to-end machine learning tasks. My prior experience includes a role as an IC-5 MLE at Sourcegraph, where I worked on improving code search quality by leveraging LLMs. Before that, I served as a Staff Machine Learning Engineer at ShareChat in Seattle, developing scalable and cost-effective recommender systems. I completed my bachelor's and master's degrees in Mathematics and Computing from IIT Kanpur and began my career as a Data Scientist at Fidelity Investments in Bengaluru, India, after an internship.

As a pioneering member of the AI team at ShareChat, I played a pivotal role in establishing the company's machine learning framework. Over the course of seven years, I transitioned ML projects from research to production, handling tasks such as automated content moderation, creating recommender systems for new categories, and developing scalable, efficient feature pipelines for ranking models. My efforts significantly contributed to the platform's growth, expanding its user community from under 1 million to over 200 million strong.

My current research and development are centered on agentic AI, where I focus on building intelligent agents that can reason, autonomously perform complex tasks, and significantly boost the productivity of fellow practitioners.

My expertise is built on a foundation of work in large-scale machine learning systems. This includes developing real-time and scalable feature stores, pioneering early-stage recommendation systems, and optimizing candidate retrieval for multi-objective ranking. My focus has always been on creating efficient and scalable solutions that bring research to production.

My contributions to the field have been recognized at top-tier venues, with my work featured at conferences such as WWW, RecSys, SIGIR, and CIKM. I was also honored to deliver a keynote speech at the Industrial track of the FIRE 2023 conference in Goa, India.

Beyond research, I am committed to contributing to the broader community. I served as a PC member for the Industry track at CIKM 2024, hold a US patent on human-assisted chatbot conversations, and have co-authored a book aimed at helping practitioners, particularly those new to the field, apply machine learning to diverse real-world problems.