B.Tech Computer Science & Engineering @ Lovely Professional University
Building practical software, scalable backend systems, and intelligent applications.
I am a B.Tech Computer Science & Engineering student at Lovely Professional University, focused on building practical and scalable software solutions.
My interests span full-stack development, backend engineering, databases, problem solving, and applied AI/ML. I enjoy turning ideas into functional applications while continuously improving my understanding of software architecture and engineering practices.
| Area | Focus |
|---|---|
| π» Full-Stack Development | Building complete web applications |
| βοΈ Backend Development | REST APIs, authentication & server-side systems |
| π§ Problem Solving | Data Structures & Algorithms |
| ποΈ Databases | MongoDB, SQL & database design |
| π€ Applied AI/ML | Practical machine learning applications |
| π¬ Research | Data-driven and reproducible systems |
Python JavaScript TypeScript C++ HTML CSS
Node.js Express.js REST APIs
React Next.js Astro Vanilla JavaScript
MongoDB MongoDB Atlas SQL Mongoose
PyTorch scikit-learn OpenCV pandas NumPy
Git GitHub Docker GitHub Actions Render GitHub Pages
Verifiable Research Platform Β· Aditya-L1 Solar X-ray Archive
A data engineering and research platform built around reproducible processing and analysis of ISRO Aditya-L1 solar X-ray data.
Stack: Python pandas scikit-learn Parquet TypeScript Astro React GitHub Actions Docker
- Built a fail-loud data extraction and transformation pipeline.
- Generated a digest-addressed SHA-256 dataset for data integrity.
- Processed thousands of Parquet artifacts across a large historical dataset.
- Used chronological validation to prevent temporal data leakage.
- Benchmarked learned models against threshold-based baselines.
- Added CI validation gates for data integrity and metric drift.
- Optimized the frontend for minimal client-side JavaScript.
π GitHub Repository
Production Full-Stack E-Commerce Platform Β· Rinky Jewellers
A production full-stack e-commerce platform built for Rinky Jewellers, Kanpur, providing a digital storefront and centralized product management system.
Stack: Node.js Express.js MongoDB Mongoose HTML CSS JavaScript Brevo Render
- Full-stack commerce application
- RESTful backend with Node.js & Express
- MongoDB Atlas database
- User authentication & role-based authorization
- Product catalogue and management
- Customer wishlist functionality
- Admin management system
- Transactional email workflows
- Security middleware and rate limiting
- Responsive Vanilla JavaScript frontend
- Production deployment with Render
π Live Application
π GitHub Repository
Personal Developer Portfolio Β· GitHub Pages
A responsive personal portfolio website showcasing my projects, skills, experience, and technical background.
Stack: HTML CSS JavaScript GitHub Pages
- Multi-page portfolio website
- Custom JavaScript animations
- Responsive design
- Lightweight framework-free architecture
- No build step or external dependencies
- Deployed using GitHub Pages
π Live Portfolio
π GitHub Repository
Real-Time Face Recognition Β· Automated Attendance
A computer vision application that detects and recognizes faces through a webcam and records attendance automatically.
Stack: Python OpenCV KNN Streamlit Pickle CSV
- Real-time face detection and recognition
- KNN-based face classification
- Webcam integration
- Automated attendance recording
- CSV-based attendance storage
- Streamlit-based interactive interface
π GitHub Repository
Automated Stellar Transient Recognition & Analysis
An end-to-end machine learning and research platform for analyzing stellar variability using TESS light curves.
Stack: Python PyTorch CNN Transformers Next.js ONNX
- Stellar variability classification
- Hybrid CNN + Transformer architecture
- TESS light-curve data processing
- Model training and evaluation
- Dataset verification
- Confidence and uncertainty analysis
- Web-based inference platform
π Project Repository
- Full-Stack Web Development
- Backend Engineering & REST APIs
- Data Structures & Algorithms
- Database Systems
- Software Engineering
- Machine Learning & AI
- Natural Language Processing
- System Design
- Building practical production applications
Lovely Professional University
2024 β 2028
- Data Science & Analytics β HP LIFE
- Effective Communication Skills β Skillera

