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About

Full Stack Developer with 6 months of production internship experience building scalable, cloud-native web applications using React.js, Next.js, Node.js, and Supabase. Delivered REST APIs, CI/CD pipelines via GitHub Actions, and responsive front-end experiences across the full SDLC in Agile/Scrum teams. Hands-on AI/ML background including a published IEEE paper in reinforcement learning and deployed ML models on Docker and Microsoft Azure.

Experience2

  1. Software Developer Intern

    Dec 2025 — Apr 2026

    V Accel AI Dynamic Pvt. Ltd.

    Developed a Key Management Application with RBAC and audit logging using React.js, Node.js/Express.js, and MongoDB for secure enterprise credential workflows. Built responsive Job and Lead Scrapers using Next.js, Node.js, Supabase, and Playwright, reducing manual sourcing by 70%. Owned CI/CD pipelines with GitHub Actions in Agile team settings.

  2. AI/ML Intern

    May 2024 — Jun 2024

    Edify Techno Solution

    Built a customer churn prediction model with 90% accuracy using Scikit-learn, deployed it on Docker and Microsoft Azure for scalable REST API inference. Automated preprocessing and evaluation reporting with Python, significantly reducing ML pipeline analysis time.

Projects3

  • Key Management Application

    Built a full-stack enterprise credential management system with RBAC, JWT authentication, and Argon2 password hashing for secure user management. Implemented audit logging and fine-grained permissions to enforce least-privilege access. Designed responsive React.js + Tailwind CSS dashboard for scalable UI extension.

    • React.js
    • Node.js
    • Express.js
    • MongoDB
    • JWT
    • Argon2

  • Job & Lead Scraper Platform

    Engineered a dual-purpose cloud-native scraping platform using Playwright to gather job and lead data dynamically. Persisted structured data in Supabase with scheduled scraping and deduplication, reducing manual effort by 70%.

    • Next.js
    • Node.js
    • Playwright
    • Supabase

  • IoT-Based Precision Agriculture System

    Built a real-time IoT monitoring system with environmental sensors and edge computing. Implemented a reinforcement learning irrigation engine reducing water consumption by 20%. Achieved 4th place in Smart Agni Hackathon 2023 and published an IEEE conference paper on RL-based precision agriculture.

    • Python
    • Reinforcement Learning
    • IoT
    • Edge Computing

Education1

  • B.Tech

    2021 — 2025

    Agni College of Technology, Chennai

    Information Technology