
AI Researcher & Developer building intelligent systems at IIT Delhi
Fifth-year CS student specializing in Machine Learning, Bayesian Networks, and Abstract Reasoning. Passionate about AI Safety and Mechanistic Interpretability.
I'm a fifth-year dual degree student at IIT Delhi, pursuing B.Tech + M.Tech in Computer Science & Engineering. My journey began with securing AIR 116 in JEE Advanced 2021.
My research focuses on Bayesian Networks for medical diagnosis, Abstract Reasoning (ARC-AGI Challenge), and AI Safety through Mechanistic Interpretability.
I'm passionate about building intelligent systems that are not just powerful, but also safe and interpretable. Currently working with Prof. Mausam on dialogue systems for medical diagnosis.
Building the future of AI, one project at a time
Bayesian Networks for Healthcare
Developing intelligent dialogue systems using Bayesian Networks to improve diagnostic accuracy.
Abstract Reasoning Research
Exploring program synthesis and few-shot learning for human-like reasoning capabilities.
Expert Iteration with MCTS
Implemented advanced game-playing agents using Monte Carlo Tree Search and imitation learning.
Diffusion Models & Slot Attention
Built diffusion models for object-centric image generation with UNet architecture.
NLP for Structured Data
Created a system for natural language queries on tabular data with 67% accuracy.
MISRA C & Formal Methods
Implemented static analysis rules and equivalence checking for Clang compiler.
Building alpha-generation pipelines using LLMs for equity trading strategies.
Implemented MISRA C rules and formal verification for Clang compiler.
Designing assignments and quizzes for COL333 (Artificial Intelligence) under Prof. Mausam.
An introduction to my blog where I share thoughts on AI, machine learning, and my journey as a computer science student.
I'm always open to discussing research opportunities, collaborations, or just chatting about AI!