Sumit Maurya

About

I’m a final-year B.Tech Computer Science student passionate about Software Development, Full-Stack Development, and AI. I have hands-on experience with Java, JavaScript, React.js, Node.js, Express.js, MongoDB, MySQL, REST APIs, Git, and GitHub, along with knowledge of Python, Machine Learning, and AI technologies. I have built 30+ projects and solved 200+ DSA problems, developing strong problem-solving and practical development skills. I enjoy building real-world applications, learning new technologies, and turning ideas into scalable solutions. I’m actively looking for Software Developer, SDE, Full-Stack/MERN, or AI/ML opportunities where I can contribute to real-world projects, learn from experienced professionals, and grow as a software engineer.

Experience

• Generative AI Intern
  IBM
  Jun 2026 – Jul 2026

  Built and experimented with machine learning, deep learning, NLP, and RAG models, and worked on cleaning and preprocessing real-world datasets.

Education

• Bachelor of Technology in Computer Science and Engineering
  RR Group of Institutions
  Computer Science · 2023 – 2027

Skills

Tools / apps / platforms

Languages

Projects

• Build2gether — Real-Time Developer Collaboration Platform
  React, Node.js, Express.js, MongoDB, Firebase, Socket.io

  Built and independently deployed a full-stack MERN platform where developers can post projects, explore opportunities, and send join requests to collaborate, with REST APIs and MongoDB data models for projects, users, and requests. Implemented real-time group chat, direct messaging, and notifications using Socket.io and Firebase; built project search/explore functionality and public developer profiles.

• Cognova AI — Full-Stack Knowledge Platform
  MERN Stack, Python/FastAPI, LangChain, MongoDB, JWT, Whisper, ChromaDB

  Built a full-stack platform that converts meetings, lectures, and YouTube videos into structured summaries, action items, and a Retrieval-Augmented Generation (RAG) based chat interface. Designed a dual-service backend where Node.js/Express handles authentication and application APIs while a separate Python/FastAPI service runs the AI pipeline, coordinating the two over REST with an async background-job workflow. Integrated Whisper for transcription and LangChain with ChromaDB for vector search and RAG-based querying; implemented JWT access/refresh tokens, email verification, and per-user data isolation. Developed a React and Tailwind CSS frontend with job-status tracking and an interactive chat interface; deployed using Vercel, Render, MongoDB Atlas, and Cloudinary.

• Veritas AI — Full-Stack Fraud Detection Application ↗
  React, TypeScript, Express.js, MongoDB, FastAPI, Python, XGBoost, SHAP

  Built and deployed a full-stack application with a React/TypeScript dashboard, a Node.js/Express API layer, and a separate Python microservice for model inference. Trained an XGBoost model for fraud prediction and used SHAP for model explainability; designed the REST API contract between the Node.js backend and the Python inference service. Built the MongoDB schema for transactions and predictions, and a responsive analytics dashboard for real-time results.

Courses & certifications

• Full Stack Development with MERN ↗ · thingQbator Program, Nasscom Foundation (Cisco CSR Initiative) · 2026
• Exploratory Data Analysis ↗ · FutureSkills Prime, MeitY–NASSCOM Digital Skilling Initiative · 2026