I’m a final-year Computer Science student at the University of Delhi who enjoys understanding how intelligent systems work and then building them myself. My interests lie at the intersection of AI/ML, LLMs, computer vision, and software engineering. I’ve worked on medical AI research, LLM post-training and reasoning systems, and full-stack applications, and I enjoy taking ideas from experimentation and research all the way to working implementations. Along the way, I’ve had the opportunity to contribute to research recognized with a Best Paper Award and compete in hackathons, including the Google × Kaggle Tunix Hackathon. I’m currently diving deeper into LLM reasoning, Transformers, Diffusion Models, Knowledge Graphs, and AI-powered applications, while continuing to build, experiment, and learn.

• 🧠 LLM Reasoning & Post-Training — Developing a research project around Gemma + Tunix, exploring SFT, GRPO, PEFT, and reasoning-focused post-training.
• 🔬 Medical Computer Vision Research — Extending my skin cancer classification research through experiments with CNN and transformer-based architectures, including ResNet, EfficientNet, and ViT.
• 🕸️ Knowledge Graph Generation — Building systems that transform unstructured text into structured graphs and relationships.
• 🌐 GitHub Profile & README Builder — Building a full-stack tool from scratch for creating, customizing, and generating developer profiles and READMEs.

Earned Hacktoberfest Super Contributor last year and looking forward to getting back into open source and contributing again this year.