I build and study machine learning systems: large language models, retrieval-augmented generation, and reinforcement learning, with an eye on what actually ships.

Graduate computer science student with roughly 1.5 years of hands-on work across research, internships, and a startup, spanning machine learning, backend development, and cloud infrastructure.
I have built end-to-end ML pipelines at ISRO, deployed real-time systems on AWS and Azure, and developed LLM-based applications for document search and forecasting. My current focus is implementing modern LLM architectures from scratch and improving retrieval systems with reinforcement learning. In June 2026 I am joining Intuit in Mountain View as a Software Development Engineer 1.
A stack built around deep learning research and production ML systems.
AI/ML research, reinforcement learning, and full-stack systems.

Coursework: Advanced Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Reinforcement Learning, Distributed Systems

Coursework: Data Structures and Algorithms, Operating Systems, Database Management Systems, Computer Networks, Artificial Intelligence, Machine Learning
Open to ML engineering and research opportunities. Reach out and I will reply.