I build intelligent software that transforms complex data into real-world decisions. From AI-powered platforms and multi-agent systems to scalable full-stack applications, I enjoy combining machine learning, backend engineering, and thoughtful product design to solve meaningful problems.
I'm a Computer Science undergraduate at UIET, Panjab University with a strong interest in artificial intelligence, scalable backend systems, and modern software engineering. I enjoy building applications where AI is not just an add‑on, but central to the product experience.
My work spans machine learning, large language models, backend architecture, full‑stack development, and intelligent automation. From prototypes to production systems, I focus on creating solutions that are scalable, explainable, and genuinely useful.
Beyond academics, I contribute to open source, engage in competitive technical programs, and tackle challenging engineering problems through research, product development, and collaborative projects.
A technology stack built through production projects, research, open-source contributions, and continuous learning across software engineering and artificial intelligence.
A selection of projects that combine artificial intelligence, scalable backend systems, and modern web technologies to solve practical problems through thoughtful engineering and product-focused design.
An AI-powered decision intelligence platform that helps professionals make smarter relocation decisions using explainable machine learning and government datasets. Evaluates cities across affordability, healthcare, career opportunities, environmental quality, cost of living, and lifestyle factors before generating transparent recommendations through ML models and AI-generated explanations.
A full-stack credit analytics platform combining ML-based risk scoring, customer segmentation, fraud detection, and explainable AI (SHAP). Served via a FastAPI backend, visualized in a live Power BI dashboard, and accessible through a React frontend. Handles 60K+ transactions across churn prediction, anomaly detection, and segment analysis.
An AI-powered portfolio generation platform that transforms resumes and GitHub profiles into deployment-ready personal websites using a multi-agent AI workflow — extracting information, enhancing content quality, scoring portfolio strength, and generating recruiter-optimized sites.
An AI-powered assessment platform that automates academic evaluation using knowledge-grounded retrieval, rubric-based grading, and large language models. Delivers explainable grading, detailed analytics, personalized student reports, and AI-generated teaching insights.
A deep learning model using ResNet to classify polyp types, with PCA for feature reduction and K-Nearest Neighbors for classification. Deployed via FastAPI on a web platform with a CLI tool available as a pip package for streamlined local predictions.
A hybrid application with a single Django REST backend powering both a React web frontend and a PyQt5 desktop client. Analyzes chemical equipment CSV data with server-side Pandas analytics, Chart.js and Matplotlib visualizations, and PDF report generation.
An e-waste marketplace platform for selling, bidding, and recycling used electronics. Features an auction system, environmental impact dashboard (CO₂ saved, materials recovered), eco-points gamification, and user dashboards. Won Smart Campus Solution award among 150+ teams.
A 2D graphics editor implementing classic algorithms — Bresenham's line, midpoint circle/ellipse, and DDA — with a full transformation pipeline (translate, rotate, scale, reflect), custom stipple masks, object selection, and session persistence via JSON.
Selected among the top 0.1% of 30,000+ applicants; awarded an INR 1L scholarship.
Selected among the top 2.2% of 134,000+ applicants for Amazon's flagship ML program.
Selected from a competitive global pool for Harvard's Women in Tech conference.
Selected among 2,000+ participants for a pro-bono mentorship program.
Ranked among the top 1,500 out of 125,000+ nationwide competitors.
Secured 3rd prize in oral presentation for AI-based research work.
Won the Smart Campus Solution award for an e-waste management platform.
Mentored students through study jams and technical workshops.
I'm always interested in discussing software engineering, artificial intelligence, machine learning, full-stack development, open source, or exciting product ideas. Whether you're hiring, collaborating, or simply want to connect, I'd love to hear from you.