EnviroNova: Consulting website
Consulting website built with React, TypeScript, Three.js, and SVG/CSS animations.
General Manager @TechnoHub | CS grad @BITD’26 | Intern @NIT Raipur | Aspiring Computer Scientist
Hii, This is Saurabh here. A passionate Mern stack enthusiast with having knowledge of Kafka & kubernete. And Burgeoning technologies like Promhetheus, Grafana. A good team player, team leader and enthusiastic developer! Have very big dreams, let's see how the life goes -Or- wait for it to be Legendary!
TechnoHub
9 mos
TechnoHub
11 mos
National Institute of Technology Raipur
11 mos · Raipur, Chhattisgarh, India
Working on Fullstack app [ReactJS, NextJS, Python] And Doing Data Extraction & Analysis [Power BI]
Association of Master of Computer Applications
1 yr 8 mos
Student Council | 3rd year Bachelors
10 mos · Bemetara, Chhattisgarh, India
Lead the team of Class Representatives of my college.
National Institute of Technology Raipur
June 2025–August 2025 · Onsite
Developed a full-stack thesis analyzer with Flask backend and Next.js frontend. Enabled PDF upload, text extraction, and keyword search through RESTful API endpoints. Integrated Google Gemini API for intelligent question answering through the web interface.
Master of Computer Applications - MCA, Computer Software Engineering
Sep 2024 - May 2026
Bachelor of Computer applications, Computer Science
Jul 2021 - Jul 2024
Mern Stack developer | DSA
Master of Computer Applications
Sept 2024–June 2026
7.5 GPA
Consulting website built with React, TypeScript, Three.js, and SVG/CSS animations.
Built a cross-platform Electron desktop application for proctoring-aware interview assistance with a multi-window UI. Implemented real-time multimodal input using Azure Speech-to-Text and Tesseract.js OCR, integrated Google Gemini 2.5 for context-aware responses, and added session control, logging, diagnostics, and response filtering with Winston.
Built a full-stack thesis analyzer using Next.js and Python Flask. Added PDF upload, text extraction, keyword search through REST APIs, and Google Gemini-powered intelligent question answering.
Developed a PDF question-answering chatbot using LangChain4j, semantic search, MiniLM, Gemini API, and a vector database. Maintained user sessions and conversation history for multi-turn interactions.
Predicted product ratings using a Graph Neural Network. Built a Python and PyTorch data preprocessing and model training pipeline, achieving RMSE of 0.9852 and MAE of 0.7466.
Built a real-time chat application with React.js, Tailwind CSS, and Firebase, supporting instant messaging, presence detection, and live data synchronization.