const jeevan = {
location: "Ahmedabad, Gujarat, India",
focus: "Full-Stack Web & AI Agent Engineering",
currentFocus: "Scalable Web Architectures & Intelligent Workflows",
expertise: {
frontend: ["React.js", "Vite", "Tailwind CSS", "HTML5/CSS3"],
backend: ["Node.js", "Express.js", "Firebase API"],
databases: ["MongoDB", "SQL"],
cloudTools: ["AWS", "GCP", "Docker/DevOps", "Git"]
},
currentlyLearning: ["Agentic AI Design Patterns", "Advanced MERN Stack", "System Design"],
lifePhilosophy: "Bridge intelligent technology and human-centric UI",
askMeAbout: [
"Full-stack MERN systems",
"Clean UI/UX practices",
"AI Agent automation",
"Database optimizations"
]
};As an AI Agent Engineer, I build autonomous, multi-agent systems designed to perform reasoning, tool execution, and self-correction. Below is the structural architectural flow representing my custom Agentic implementations:
graph TD
User[User Prompt / Input] --> Orchestrator{Multi-Agent Orchestrator}
Orchestrator --> Planner[Planner Agent]
Planner --> Reasoner[Reasoner Agent]
Reasoner --> ToolExecution[Execution Tools]
ToolExecution --> DB[(MongoDB / SQL)]
ToolExecution --> WebAPI[APIs & Web Search]
DB --> Critique[Critique & Self-Correction]
WebAPI --> Critique
Critique --> Reasoner
Critique --> Orchestrator
Orchestrator --> Output[Optimized Output]
React.js • Next.js • Tailwind CSS • Material UI • ShadCN UI • Redux Toolkit
Node.js • Express.js • MongoDB • PostgreSQL • MySQL • Redis • Firebase
React Native • Expo • AsyncStorage • Expo Go
Git • GitHub • VS Code • Figma • Vercel • Netlify • Render
⚡ Fun Fact: I talk to my code more than I talk to people... and sometimes it actually talks back! 🤖😆









