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About

ML Engineer & Full-Stack AI Developer who builds real, working products from ideas. I like to move fast, use a bit of ”vibe coding” when needed, and still think through the trade-offs behind every decision. I’ve also written a book on building products with AI, which comes from my own hands-on experience of trying, failing, and shipping. Currently pursuing M.Tech in Computer Science, focused on getting better at building useful things that people can actually use.

Experience2

  1. Machine Learning Engineer – Research Intern

    Aug 2024 — Feb 2025

    NIELIT (National Institute of Electronics & Information Technology)

    Architected Smart Crop Advisor using XGBoost and Random Forest achieving 99.5% accuracy for over 2200 crop-soil combinations via Flask REST API. Optimized ML pipeline through feature engineering and Grid Search CV, reducing training time by 25%. Conducted exploratory data analysis on over 11,000 records to improve model convergence by 30%.

  2. Full-Stack Development Engineer – Intern

    May 2023 — July 2023

    WhizzyStack Solutions

    Delivered over 5 enterprise web applications using HTML5, CSS3, JavaScript, and WordPress, ensuring cross-browser compatibility. Implemented UX/UI enhancements that increased user session duration by 18% across all client deployments. Executed agile sprint planning and peer code reviews in a fully remote team environment.

Projects4

  • Xourist – Travel Agency Platform

    Architected full company UI via vibecoding, shipping a production-grade site with Vite-optimized bundles and automated Vercel distribution/routing.

    • HTML5
    • CSS3
    • Vanilla ES6+
    • Vite
    • Vercel

  • Cheque.io – B2B Enterprise Cheque Printer

    Built a mm-precision cheque printing engine ensuring compliance with CTS-2010 bank standards, architecting fully client-side processing for enterprise-grade data privacy.

    • HTML5
    • Vanilla JS
    • CSS3
    • Playwright
    • Vercel Edge Network

  • Smart Crop Advisor

    Deployed an ensemble ML system with 99.5% accuracy as a live Flask REST API processing real-time crop-soil-climate queries.

    • XGBoost
    • Random Forest
    • Flask REST API
    • Scikit-Learn
    • Python
    • Vercel

  • Data Analytics Suite (3 Projects)

    Built 3 pipelines for enterprise data analytics, applying hypothesis testing, outlier detection, and developing Power BI dashboards.

    • Power BI
    • Python
    • Pandas
    • K-Means
    • DBSCAN
    • Matplotlib
    • Seaborn
    • Excel

Education3

  • B.Tech

    2022 — 2025

    Gurukula Kangri University

    Computer Science

  • Diploma

    2019 — 2022

    SDIMT, Haridwar

    Computer Science

  • M.Tech

    2025 — 2027

    Gurukula Kangri University

    Computer Science