Hey there! 👋 I'm Vijay Prajapati

AI Full Stack Developer | ML Engineer | Agentic AI Specialist

• 💻 AI Full Stack Developer building intelligent applications with React, Spring Boot, and ML integrations
• 🤖 Specialized in AI-powered web applications using LangChain, OpenAI API, and Gemini API
• 🏗️ Experienced in architecting end-to-end AI solutions with modern full-stack technologies
• 🔬 Research background in Deep Learning at Samsung, working with GANs and computer vision
• 🚀 Currently at Hyperbots building scalable AI agent systems with LangGraph (150+ integrations)
• 🛠️ Expert in TypeScript, React, Spring Boot, PostgreSQL with AI/ML pipeline integration
• 📝 Published researcher in IEEE-CSITSS on Multi-MCP AI Agents
• 🎯 Goal: Creating production-ready AI applications that solve real-world problems at scale
• 💬 Let's talk about Full Stack Development, AI Integration, System Design, or Generative AI
• 📫 Reach me at: vijaykumarrvce26@gmail.com
• ⚡ Fun fact: I enjoy hiking and experimenting with new cooking recipes in my free time

TypeScript • React • Spring Boot • PostgreSQL • Gemini API • Firebase

• Built full-stack grocery e-commerce platform with AI-powered natural language processing
• Implemented NLP-driven input allowing users to add multiple items from single text prompt
• Developed complete CRUD operations with Spring Boot backend and React frontend
• Integrated real-time order management and Firebase authentication

React • Python • LangGraph • Docker • OpenAI API

• Developed full-stack AI agent platform showcasing intelligent services
• Built research assistant automating multi-source data gathering (Wikipedia, Tavily, Google Serper)
• Designed responsive React UI with seamless backend integration
• Live Demo | Research Agent Repository

Python • Model Context Protocol • Google APIs • OAuth

• Created unified integration server for Gmail, Drive, Docs, Tasks, and Calendar
• Built RESTful API endpoints with OAuth 2.0 authentication
• Designed scalable architecture for enterprise workspace management

Applied ML Intern @ Hyperbots | June 2025 – Oct 2025

• Architected ML-driven workflows for LangGraph AI agent with 150+ integrations
• Developed custom Model Context Protocol client for streamlined data exchange
• Containerized MCP servers with Docker on Azure for improved scalability

Research Intern - Deep Learning @ Samsung | Jul 2024 – Feb 2025

• Designed conditional GAN for realistic noise generation impacting 60M+ users
• Optimized data pipeline for 30 GB dataset, improving training I/O throughput
• Validated model outputs using quantitative metrics (SSIM/PSNR)

Scaling Multi-MCP AI Agents Beyond Context Limits
IEEE-CSITSS Conference (Accepted, To be Published)
Research on optimizing context management in multi-agent AI systems using Model Context Protocol