M.Tech (CSE) @ IIIT-Delhi | Ex-B.Tech (CSE) @ GCETTS
I bridge the gap between Scalable Web Systems and Machine Learning. My current focus is on Large Language Models (LLMs), NLP pipelines, and building intelligent web applications.
🏆 Key Highlights: GATE CS & DA Qualified (AIR 4747 & 5322) | CodeChef 1★
(Aug 2024 - Present)
- Currently serving as a Teaching Assistant for the DBMS course.
- Previously served as TA for UsS (Usable Security) and DSA courses.
- Responsible for mentoring students and managing course evaluations.
(Dec 2024 - May 2025)
- Project: Ratatouillegen (AI-Powered Recipe Platform).
- Developed the frontend using React & Tailwind CSS and integrated backend APIs for recipe data fetching.
- Deployed the LLM-based prediction platform on internal lab servers.
(Mar 2025 - May 2025)
- Built responsive, real-world frontend interfaces using modern UI libraries.
- Focused on interactivity and component-based architecture.
| Domain | Technologies |
|---|---|
| Languages |    |
| AI / ML / NLP |    |
| Web Dev |     |
| Databases |   |
| Tools |    |
Guide: Dr. Mukesh Mohania
An AI-powered engine that translates natural language into MongoDB queries.
- Tech: Python, Flask, Node.js, Express, MongoDB.
- Role: Built the backend for query schema standardization and integrated it with a responsive frontend.
Guide: Md. Shad Akhtar
A system using BART and T5 models to convert noisy social media text into fact-checkable statements.
- Tech: Transformers (BART/T5), Streamlit, Python.
- Role: Designed the NLP preprocessing pipeline (cleaning, tokenization) and created the visualization UI.
Guide: Md. Shad Akhtar
Advanced sentiment analysis using hybrid Deep Learning models.
- Tech: BERT, RoBERTa, LSTM/RNN.
- Role: Fine-tuned transformer models to capture context and implemented attention mechanisms for better polarity prediction.