Full-Stack & Cloud Focus

    Hi, I'm Hariom Acharya.

    I build full-stack web applications and AI-integrated systems, with a growing focus on cloud engineering. I'm a final-year B.Tech Computer Engineering student at LDRP Institute of Technology and Research in Gandhinagar, Gujarat.

    As a Software Development Intern at NST Private Limited, I designed and built EaseExpense, a full-stack expense-management platform — architecting the React frontend, developing the Node.js/Express backend, and integrating Supabase for authentication and data persistence. The experience sharpened my ability to take a product from concept to a working, deployed system.

    Hariom Acharya Profile Photo

    Quick Facts

    Location: Gandhinagar, India
    Education: B.Tech CSE (LDRP-ITR)
    📊Academics: CGPA 8.64 / SPI 9.29
    Internship: NST Private Limited

    Projects & Hardware Focus

    My journey extends across building intelligent platforms like Vox-Hire (an AI-powered mock interview system) and PhishGuard (a real-time phishing detection system combining threat feeds with custom classifiers). These hands-on projects taught me more about shipping software than any single course did.

    I am also drawn to hardware and IoT, having built an ESP32-based Machine Failure Detection pipeline that streams live telemetry into ML classifier models to estimate remaining useful life. I approach all of my work with a structured, SDLC-driven mindset — understanding the problem thoroughly, planning before building, and testing rigorously rather than shipping and hoping.

    Currently Building & Learning

    Wrapping up my final year while continuing to sharpen my full-stack skills and actively learning cloud infrastructure — currently focused on AWS, containerization with Docker, serverless patterns, and tighter AI integration across my projects.

    The Kind of Work I'm After

    • A full-time SDE / Software Engineer / Cloud Engineer role as I graduate.
    • Teams that care about clean, maintainable code as much as fast delivery.
    • Room to work across the full stack — frontend, backend, and wherever it fits, AI/ML, IoT, and Cloud.