I design and productionize agentic AI frameworks, owning the full MLOps lifecycle from research to deployment.
About Me
I'm an AI Engineer driven by a deep curiosity for building intelligent systems from the ground up. My journey started in product design, where I developed a passion for understanding user needs and crafting elegant solutions. This design-centric approach now informs my engineering philosophy: I build AI not just to be technically robust, but also to be intuitive, purposeful, and genuinely useful.
I thrive on the challenges found at the intersection of research and production. Whether it's architecting a complex multi-agent system or deploying a scalable service on AWS, my goal is always the same: to take an idea from a whiteboard sketch to a reliable, high-impact product. I believe the most exciting work in AI is happening right now, and I'm dedicated to being on the front lines, building the tools that will define the future.
Experience
Associate Data Scientist
Epsilon • Aug 2024 - Present
Architecting and deploying production-grade agentic AI solutions (Insight Automation, Text-to-SQL agents) using MLflow. I lead research on GNN-LLM recommenders, and serve as a major contributor for LLMOps and MLOps.
Data Analyst Intern
Epsilon • Feb 2024 - Aug 2024
Engineered a production-grade, scaled PySpark implementation of the TIFUKNN research paper for a time-aware recommendation system. Developed a projection modeling framework to forecast high-value customer behavior.
B.Tech, AI & Robotics
VIT Chennai • 2020 - 2024
Graduated with a 9.09/10 CGPA, [cite: 38] [cite_start]focusing on foundational AI principles and leading the university's largest technical club as President. [cite: 41]
Core Competencies
Interested in building the future?
Get in Touch.
The best way to reach me is by email.