I am a B.Tech Computer Science and Engineering student at Lovely Professional University, focused on building practical software solutions and strengthening my skills in full-stack development, backend systems, databases, and problem solving. I enjoy turning ideas into functional applications, working with modern web technologies, and continuously improving my understanding of data structures, algorithms, and software engineering.
Currently, I am working toward becoming a strong Software / Full-Stack Developer while exploring areas such as artificial intelligence, machine learning, and scalable web applications.
| Full-Stack Development | Backend Development | Data Structures & Algorithms |
|---|---|---|
| Web Applications | Database Systems | Applied AI / Machine Learning |
Online E-Commerce Shopping Platform
A web-based e-commerce platform developed to provide users with a simple online shopping experience.
HTML · CSS · JavaScript · APIs · AI Integration
- Developed a responsive e-commerce interface using HTML, CSS, and JavaScript.
- Integrated APIs to dynamically work with product-related information.
- Added AI-based functionality to improve the overall shopping experience.
- Focused on creating a clean and user-friendly shopping interface.
An automated attendance management system that uses facial recognition to identify users and record attendance.
Python · Machine Learning · HTML · CSS · JavaScript
- Implemented facial-recognition-based attendance functionality.
- Uses a Python-based ML library for face detection and recognition.
- Provides a web-based interface for interacting with the attendance system.
- Designed to reduce manual attendance work and improve identification accuracy.
Automated Stellar Transient Recognition & Analysis
An end-to-end machine learning and research platform for automatically classifying stellar variability using TESS light curves.
Python · PyTorch · CNN · Transformers · Next.js · ONNX
- Built around machine learning models for classifying stellar variability into multiple astrophysical categories.
- Uses a Hybrid CNN + Transformer architecture to process raw and phase-folded light curves.
- Includes data acquisition, preprocessing, model training, evaluation, calibration, and uncertainty analysis.
- Supports reproducible research through dataset verification and hash-based integrity checks.
- Includes a web platform for interactive model inference and deployment.
A research platform focused on the Aditya-L1 solar X-ray archive and reproducible solar flare detection and analysis.
Python · Data Analysis · Machine Learning · Scientific Computing
- Works with scientific data from the Aditya-L1 SoLEXS and HEL1OS solar X-ray archive.
- Focuses on verifiable datasets, validation history, and reproducible research workflows.
- Includes data analysis and benchmarking for solar flare detection.
- Designed with an emphasis on scientific reproducibility and data integrity.
- Full-Stack Web Development
- Backend Development and REST APIs
- Data Structures and Algorithms
- Database Management Systems
- Software Engineering
- Machine Learning and Artificial Intelligence
- Natural Language Processing
- Problem Solving and Analytical Thinking
- Building practical applications and real-world projects
B.Tech — Computer Science & Engineering
Lovely Professional University
2024 — 2028
Currently pursuing my B.Tech with a focus on software development, programming, databases, web technologies, and problem solving.
- Data Science & Analytics — HP LIFE
- Effective Communication Skills — Skillera
