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AI Engineer with less than a year in Fullstack Development & Machine Learning.
Prince Kumar Choudhary is an aspiring AI Engineer currently pursuing a B.Tech in Computer Science and Engineering. He has actively engaged in building several full-stack projects, including a RAG-based AI Assistant, a service provider platform, and a real-time chat application. His expertise spans modern web technologies like React, Node.js, Express.js, and MongoDB, complemented by strong skills in AI concepts such as LLM integration, semantic search, and data processing.
National Institute of Technology
B.Tech · Computer Science and Eng.
August 1, 2022 – June 30, 2026
Jawahar Navodaya Vidyalaya
Class XII
June 1, 2020 – May 31, 2021
Assist-Chatbot
January 1, 2024 – June 1, 2026
Built a RAG-based AI Assistant that enables document understanding, semantic retrieval, and contextual question answering using LLMs. Implemented PDF ingestion, text chunking, and semantic retrieval using MiniLM embeddings and Pinecone Vector Database. Integrated Groq (Llama 3.3) to generate grounded responses from retrieved document context. Developed REST APIs with Node.js, Express.js, and MongoDB Atlas for document processing and interaction logging.
View ProjectSkillConnect
January 1, 2023 – June 1, 2026
Built a full-stack platform using React, Node.js, Express, and MongoDB to connect users with nearby service providers through structured listings. Implemented secure authentication using JWT with role-based access control for users and service providers. Integrated Redis caching to improve backend performance and reduce database load for frequently accessed service APIs. Implemented API rate limiting using Express middleware to protect authentication and booking APIs from spam and brute-force attacks. Handled media uploads using Cloudinary and deployed the application on Vercel and Render.
View ProjectQuickTalk
January 1, 2023 – June 1, 2026
Built a real-time chat application using React, Node.js, Express.js and MongoDB with support for one-to-one and group messaging. Integrated Socket.IO to enable real-time features including typing indicators, online status, and instant message updates. Implemented secure JWT-based authentication and protected routes for user session management. Designed REST APIs and optimized data handling for efficient message storage, retrieval, and user search. Deployed the application with frontend on Vercel and backend on AWS, ensuring reliable performance in a production environment.
View ProjectLeetCode: Max rating 1630 (Profile)
LeetCode
June 1, 2026 – Present
DSA Practice: Solved 300+ problems on LeetCode and GeeksforGeeks
LeetCode and GeeksforGeeks
June 1, 2026 – Present
Introduction to Front-End Development (95%)
Meta (Coursera)
June 1, 2026 – Present
The Joy of Computing using Python (Elite, 77%)
NPTEL, IIT Madras
June 1, 2026 – Present
Cultural Fit Analysis
Critically low, scoring 0 out of 500 on the psychometric test. This indicates severe issues across logical reasoning, work attitude, stress handling, and team collaboration, making the candidate a high risk for cultural integration and effective teamwork.
Soft Skills & Operational Fit
Extremely poor, as indicated by a 0/500 psychometric test score. This raises significant concerns regarding logical reasoning, work attitude, stress handling, and team collaboration, which are critical for any professional role. The minor 'Positions of Responsibility' on the resume do not mitigate this critical assessment.