Academic Journey
Timeline
Cardiff University
MSc in Advance Computer Science with placement Year
2025 - Now
National Institute of Technology, Kurukshetra, India
B.Tech in Computer Engineering
2020 - 2024
- Got My Undergradute Degree
My Work
RiskLensAI
RiskLensAI is an explainable AI credit-risk decision support system that predicts default probability using calibrated ML models and real financial datasets. It combines an ML pipeline, SHAP-based explainability, and a full-stack dashboard to help analysts make transparent, threshold-driven lending decisions.
Auto Plaza
Car marketplace platform built with Next.js, enabling users to create and browse listings with secure authentication. Features image uploads, structured listing management, and a responsive interface backed by PostgreSQL (Neon) and Drizzle ORM.
Sahina Beauté — Full Stack Website for a Beauty Salon (Client Work)
Designed and developed a production-ready website for a women-only Indian beauty salon in Saint-Denis, France. The platform includes a service catalogue, pricing menu, appointment booking form, and automated email confirmations using Resend. Built with Next.js and deployed on Vercel for fast global delivery.
GweldCymru — Welsh Neighbourhood Explorer
An interactive geospatial web app that consumes live Welsh Government open data to let users explore neighbourhood-level deprivation scores, flood risk zones, and administrative boundaries across Wales. Server-side WFS queries fetch real WIMD data from DataMapWales for any location.
Research & Coursework
Cardiff University QA Chatbot — Domain RAG System (Coursework Project)
A proposed domain-specific Retrieval-Augmented Generation (RAG) QA system planned as part of MSc coursework, aimed at answering university policy and information queries using document retrieval and LLM generation. The project will evaluate and compare multiple retrieval strategies for accuracy and faithfulness.
Research Papers Studied
- Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks — Lewis et al.
- Dense Passage Retrieval for Open-Domain Question Answering — Karpukhin et al.
- RAG for Large Language Models: A Survey — Gao et al.
Proposed Study Topic
A Comparative Study of Retrieval Methods for Domain-Specific RAG Question Answering: The Cardiff University Case.