I’m an Information Technology undergraduate who enjoys building intelligent and practical systems.
My work sits at the intersection of software engineering and machine learning, where I focus on solving real-world problems using data-driven approaches.
I enjoy exploring how models behave in complex environments and designing systems that are not just accurate — but reliable and usable.
- Machine Learning & Deep Learning
- Computer Vision systems
- Large Language Models (LLMs)
- Information Extraction & Document AI
- Representation Learning
- Evaluation-aware AI systems
- Scalable and real-world ML pipelines
- Designing applied AI solutions from data to deployment
- Experimenting with model behavior and inference strategies
- Building full-stack applications powered by ML
- Turning messy real-world data into structured intelligence
- Learning through competitions, hackathons, and open source
- 🥈 Runner-up — Vista Codefest (IIT BHU)
- 🏁 Final Round — Convolve Pan IIT Hacks
- 📊 Amazon ML Challenge — Rank under 500
- 🌍 Top 50 Contributor — GirlScript Summer of Code
- 🏁 Finalist — Xenia Hackathon
- 🏁 Finalist — InnovEra National Innovation Hackathon
⭐ Always learning, experimenting, and building systems that bridge research and real-world impact.