Hi, I'm Aditya.
been here for years
about;
i like technology and Machine Learning, cool stuff
Studying at Vishwakarma University | Technical Lead at TekLingo
I live in Pune, Maharashtra. You can keep up with me on LinkedIn or GitHub.
Technical Arsenal
Programming Languages
Frontend Development
Backend & Databases
AI & Machine Learning
DevOps & Tools
Specialized Skills
Projects
NetPulse Monitor
A distributed uptime monitoring system leveraging blockchain and decentralized validators for reliable, tamper-proof website monitoring. Uses cryptographically verified independent validators incentivized through micropayments, eliminating single-provider dependency.
Code-Sync Review MCP
A Model Context Protocol (MCP) worker providing comprehensive TypeScript/JavaScript code analysis. Integrates with AI assistants and development tools for intelligent code review, static analysis, and automated patch generation.
Automated Chapter Segmentation for Live News Streams
Developed an AI-powered system to automatically segment YouTube live news streams into chapters by detecting topic shifts, context changes, and advertisement breaks in real-time. Implemented real-time transcription using Whisper-based models, combined with NLP for topic segmentation, enabling precise start and end timestamps for improved content navigation, highlight extraction, and personalized content delivery.
Discord Bot Management and Development
Architected and deployed scalable Discord bots with advanced features including automated moderation, custom commands, database integration, and real-time analytics. Built using Discord.py with PostgreSQL backend, serving 10,000+ users across multiple servers.
Automated Traffic Management System
ATMS (Automated Traffic Management System) is an intelligent, AI-powered traffic control platform designed to optimize vehicle flow at busy intersections. Built with real-time computer vision and dynamic signal control logic.
Virtual Mouse Gesture Control
Hand gesture recognition system for controlling OS functions, including volume and media playback. Built using computer vision and machine learning to enable touchless interaction with system controls through real-time hand tracking and gesture classification.
YODHA
Developing an image recognition model to identify images in low-light conditions for improved clarity.
Stock Management Using LSTM
Built an LSTM model to predict stock prices and manage stock levels based on historical data.
Sidemen Among Us Stats Website
Web-based statistics tracker for Sidemen's 'Among Us' gameplay, providing comprehensive analytics and performance metrics for one of YouTube's most popular gaming series.
Get in touch
Based in Pune, Maharashtra. You can reach me at garudaditya079@gmail.com
Design inspired by Maddie Simens