About

Full Stack Developer with hands-on experience building scalable web applications using React.js, Node.js, Python, and MySQL. Skilled in RESTful API development, JWT authentication, database design, and AI-powered applications. Passionate about developing secure, high-performance software and solving real-world problems.

Experience1

  1. Full Stack Developer Trainee

    Jul 2025 — Sep 2025

    JRS Dynamics Info Solutions

    Built production-ready full-stack features using React, Node.js, MySQL, and JWT authentication, enabling secure end-to-end workflows for real world application use. Designed and optimized REST APIs, improving backend response time by 25%. Implemented structured validation, centralized error handling, and JWT-based authentication. Participated in Agile sprints, conducted API testing, and improved deployment reliability.

Projects3

  • AI Resume Analyzer

    Built and deployed an AI-powered resume analysis platform that evaluates resumes against ATS filters, identifies keyword gaps, and generates improvement suggestions. Developed a scalable backend using FastAPI (Python) integrating Groq LLaMA 3.3 70B-versatile for intelligent resume scoring and summary rewriting. Designed secure REST APIs with PDF parsing and built a responsive React frontend with dynamic ATS score visualization.

    • React.js
    • FastAPI
    • Python
    • Groq API
    • PyPDF2
    • Tailwind CSS
  • Bug Tracking System

    Built a role-based bug tracking platform supporting complete issue lifecycle management to improve defect tracking accuracy and team collaboration. Designed RESTful API endpoints and optimized MySQL database schemas ensuring consistent status transitions and faster resolution workflows. Implemented Role-Based Access Control (RBAC) and JWT authentication for secure multi-user access.

    • React
    • Node.js
    • MySQL
    • JWT
    • REST APIs
  • Jarvis Assistant

    Developed a voice-controlled AI assistant executing system commands, automating tasks, providing conversational responses using natural speech. Built speech processing and intent recognition pipeline using Faster-Whisper and LLM based analysis for accurate command execution. Implemented system automation features including app launching, media control, and web search with a responsive React + Tailwind interface.

    • Python
    • Flask
    • React
    • Tailwind CSS
    • Faster-Whisper
    • Groq API
    • pyttsx3
    • pyautogui

Education1

  • Bachelor of Technology

    2026

    Dronacharya Group of Institutions, Greater Noida

    Information Technology