DAKSH RAUT
Software Development Engineer | Full-Stack & AI/ML
I'm a Computer Science student at DBATU building AI-powered full-stack applications that solve real problems. At MRSAC, I used satellite imagery to detect illegal mining — cutting analysis time by 60%. At Play Labs, I optimized API performance by 40% and shipped user-facing features. My projects include Interview AI (70% faster interview prep), ECIS (85% accurate crime prediction), and an Algorithm Visualizer that helped hundreds learn DSA. I write code that ships, measures, and improves.
Skills
Projects
Built an end-to-end AI-powered interview platform that parses resumes (PDF/DOCX) and generates structured reports with match scores, 7+ technical questions, and 5+ behavioral questions using React, Node.js, Express, MongoDB, Google Generative AI, Puppeteer. Reduced interview preparation time by 70% through automated report generation and optimized resume PDF output using Puppeteer.
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Developed a geospatial intelligence platform that detects and predicts environmental crimes – illegal mining, logging, and water pollution – using location-based risk scoring across 500+ tested locations with React, Tailwind CSS, FastAPI, Python, MongoDB, Redis. Achieved 85% prediction accuracy with a 200ms average response time, 90% faster than traditional monitoring approaches.
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Built an interactive visualizer for 12+ DSA algorithms with real-time step controls, improving learning efficiency by 60% using React.js, Tailwind CSS. Achieved 70% higher user engagement through a fully responsive UI and intuitive algorithm comparison features.
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AmazonGo is a complete backend solution with seamless integration between: Backend API (Node.js/Express) - RESTful API with authentication & data management ML Service (FastAPI/Python) - Machine learning for recommendations, analytics & insights Database (MongoDB) - Scalable document storage Frontend Integration (Real-time support via WebSockets)
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Kanban Board: Visual task management with drag-and-drop functionality Real-time Collaboration: WebSocket-based real-time updates across boards User Authentication: Secure JWT-based authentication with password hashing Board Management: Create, update, and delete boards with invite links Task Management: Create tasks with priority, difficulty, and company tracking Progress Tracking: Visual analytics and progress statistics Time Tracking: Log time spent on each task Task Comments: Collaborate on tasks with comments File Attachments: Upload and manage attachments
View Source CodeExperience
MRSAC (Maharashtra Remote Sensing Application Centre)
Feb. 2026 – May 2026
Built an AI model using Python and OpenCV to detect illegal mining from satellite imagery, reducing analysis time by 60%. Created a React dashboard with Mapbox for real-time violation mapping and automated risk scoring. Achieved 85% accuracy in detecting deforestation and land encroachment using anomaly detection algorithms.
Play Labs
Dec. 2025 – Feb. 2026
Developed full-stack applications using MongoDB, Express.js, React, and Node.js, delivering seamless end-to-end user experiences. Optimized API response times by 40% through efficient database indexing and server-side logic refinement. Implemented responsive UI/UX designs with React and state management, increasing user session duration by 30%. Secured applications with JWT authentication and input validation, reducing runtime errors by 60%.
Education
Dr. Babasaheb Ambedkar Technological University (DBATU)
Bachelor of Technology in Computer Science • Nov. 2022 – May 2026
Extra-Curricular
National Cadet Corps (NCC)
2019 – 2020Led military drills and community outreach initiatives, improving team efficiency by 30%. Achieved 100% completion rate in a rigorous 2-year training program, earning the NCC ‘A’ Certificate.
Get in Touch
Interested in collaboration or just want to say hello? Feel free to reach out!