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About

I'm a Software Engineer focused on building intelligent software products that solve real-world problems. I graduated with a B.Tech in Electronics & Communication Engineering from NIT Jalandhar and have experience across full-stack development, backend engineering, and AI-powered applications. Over the past few years, I've: • Solved 600+ DSA problems across LeetCode, Codeforces, and GeeksforGeeks • Built scalable backend systems using Node.js, Express.js, MongoDB, Redis, and JWT-based authentication • Developed AI-powered applications using LangChain, Pinecone, Gemini API, and Retrieval-Augmented Generation (RAG) • Worked on deep learning projects involving TensorFlow, Keras, and signal processing Currently, I'm building Career Copilot, an AI-powered platform aimed at helping job seekers optimize and automate parts of their job search journey. My interests lie at the intersection of: • Software Engineering • Artificial Intelligence • Backend Systems • Product Development • Developer Tools I'm always excited to connect with engineers, founders, recruiters, and builders working on impactful products. 📩 Open to Software Engineering, AI Engineering, and Full-Stack Development opportunities.

Experience1

  1. Software Development Intern

    Sept 2025 — Oct 2025

    Web Stack Academy

    Developed backend for two production-grade web applications using Node.js and Express, focusing on scalable RESTful APIs with secure request handling and JWT-based authentication. Designed MongoDB data models and deployed applications on Vercel, working in an Agile environment with Git/GitHub and Postman.

Projects3

  • Hybrid Deep Learning ECG Classifier

    Developed an automated deep learning pipeline achieving 99.20% classification accuracy for detecting ARR, CHF, and NSR from raw ECG signals, including a comprehensive preprocessing pipeline using SciPy with data augmentation to prevent overfitting.

    • Python
    • TensorFlow
    • Keras
    • OpenCV
    • SciPy

  • AI-Powered RAG System

    Designed and built a Retrieval-Augmented Generation (RAG) system enabling context-aware question answering over private PDF document collections, implementing a complete document ingestion pipeline and integrating Pinecone for semantic similarity search.

    • Gemini
    • LangChain
    • Pinecone
    • React.js
    • Typescript

  • AuthX – Real-Time Authentication System

    Engineered a real-time multi-session authentication system implementing secure JWT-based access and refresh token lifecycle management, with a scalable session tracking mechanism and Redis-based rate limiting to enhance backend security.

    • Node.js
    • Express.js
    • React.js
    • MongoDB
    • Redis
    • Socket.io

Education1

  • Bachelor of Technology

    2022 — 2026

    Dr. B.R. Ambedkar National Institute of Technology, Jalandhar

    Electronics and Communication Engineering