AI Legal Document Analyzer using Next.js, TypeScript, Tailwind CSS, MongoDB, and Gemini AI for AI powered legal document and contract analysis with multilingual support, automated review, key insight extraction and secure user authentication (JWT and Google Auth).
About
Full-Stack Developer skilled in React/Next.js, Node.js, and databases, with 2 internships and experience building AI powered and scalable applications.
Experience
Full Stack AI Developer
TechlyAssist
Sep 2025 - Current · Remote
Developed AI automation tools using Python and LLM APIs, implemented prompt engineering and API integrations to build scalable data processing pipelines and automate end to end workflows, enhancing operational efficiency and reducing manual effort. Engineered reusable AI chatbot and voice avatar solutions using React, Next.js, LLM APIs, STT, TTS, and NLP, integrating real time conversational interfaces across multiple applications. Owned the end to end development lifecycle of 6+ applications, leading projects from requirements gathering and architecture design to development, testing, deployment, and final delivery. Designed and implemented agentic AI architectures using OpenClaw and Hermes Agent frameworks, integrating autonomous workflows and multi agent orchestration within complex, production grade applications.
Education
KIET Group of Institutions
B.Tech, Electronics & Communication Engineering
June 2026
CGPA: 7.1/10
CBSE
Class XII, null
2022
74.9%
CBSE
Class X, null
2020
92%
Skills
Projects
AI-Powered Itinerary Planner using React.js, Google Gemini AI, Firebase, and Google Auth for advanced itinerary planning application with AI-generated trip data, secure authentication, real-time sync, and interactive UI.
Advanced Doctor Appointment Booking App using MERN Stack (MongoDB, Express.js, React.js, Node.js) for doctor search, appointment booking, online consultations, secure payments, and real-time chat with JWT authentication and role-based admin panel.