• 💼 AI & Backend Engineer with experience in LangGraph, LangChain, MCP, RAG & LLM Systems
• 🔍 Focused on building Multi-Agent Architectures, AI-driven automation pipelines & real-time systems
• ⚙️ Skilled in Python (FastAPI, Flask) and Java (Spring Boot) microservices
• ☁️ Hands-on with AWS, GCP, Docker, Nginx, and CI/CD
• 🤖 Experienced in GPT, Claude Code, Mistral, Llama 3, and Hugging Face models
• 🧩 Enjoy designing modular AI orchestration systems with reasoning, memory & dynamic routing
• 🔥 Currently building MCP-based Agent Frameworks integrating LangGraph, FastAPI, and GPT
• 🎯 Open for roles: AI Engineer | Backend Engineer | AI Infra Developer

Built a multi-agent orchestration system using LangGraph + MCP for intelligent calendar automation.
Features time-aware orchestration, scheduling, rescheduling, and analysis using LLMs.

Tech: LangGraph, MCP, FastAPI, OpenAI GPT, Google Calendar API, Multi-Agent Flow

Converts natural language into executable tool calls using BAML and executes step-by-step workflows.
Part of Superfuel AI challenge — demonstrates autonomous planning without LLM runtime dependence.

Tech: Python, BAML, LangChain, Tool Orchestration, Step Execution Framework

AI assistant to query PDFs using vector embeddings and RAG pipeline built with LangChain + OpenAI API.

Tech: LangChain, OpenAI GPT, FAISS, Streamlit, Python

Scalable microservice-based system for hotel management with OAuth2 authentication & service isolation.

Tech: Java, Spring Boot, MySQL, Docker, REST APIs

Python	Java	FastAPI	Spring Boot	Flask	LangChain	LangGraph	MCP / Agents
Docker	AWS	PostgreSQL	MySQL	MongoDB	Postman	Git	GitHub

• 🧠 LLM-Oriented Engineering: GPT, Claude Code, Mistral, Llama, Hugging Face models
• 🧩 AI Frameworks: LangChain, LangGraph, MCP, OpenAI Realtime API
• 🔄 RAG Pipelines: Vector DBs, FAISS, Embeddings, Query Re-ranking
• ⚙️ Backend: FastAPI, Flask, Spring Boot, REST APIs, OAuth2
• ☁️ DevOps & Infra: Docker, AWS EC2, GCP, Nginx, CI/CD
• 🧱 Databases: PostgreSQL, MySQL, MongoDB
• 📡 Integrations: Twilio, Speech-to-Text APIs, Google APIs

• Built multi-agent architectures with supervisor routing, intent classification, and autonomous collaboration
• Implemented MCP + LangGraph orchestration with time-aware reasoning
• Designed API-driven AI services for scheduling, communication, and document understanding
• Created end-to-end deployment pipelines for scalable AI systems

• 🏗️ Built LangGraph Multi-Agent System for Calendar Orchestration (Open Source)
• 🤝 Led backend team at BXKG, deployed AI-integrated SaaS products
• 🚀 Integrated LLMs with FastAPI for real-time intelligent automation
• 💡 Developed BAML-based planner-executor without LLM runtime dependency
• 🌍 Published several open-source AI utilities and backend frameworks