A collection of AI and software engineering projects showcasing GenAI applications, distributed systems, cloud infrastructure, and full-stack development.
Designed and implemented a sophisticated multi-modal RAG system with specialized agents for processing diverse document formats, extracting text, images, and tables to enhance information retrieval and generation capabilities.
Developed a Model Context Protocol (MCP) server and client system that enables language models to interact with web content through standardized tools for web scraping, search, and content extraction.
Researched and implemented optimized lane detection for autonomous driving using high-performance computing techniques, with detailed parallel efficiency analysis and scaling across multiple CPUs and GPUs.
Utilized Terraform for infrastructure provisioning and Packer for GCP machine image creation, enhancing system reliability.
Developed a predictive model on Bike Sharing dataset, achieving 90% accuracy in demand prediction with Random Forest.
Developed an AI-powered learning platform that transforms PDF documents into interactive content including podcasts, flashcards, and quizzes using Multi Agentic architecture and multi-agent systems.