I lead engineering teams at Target while staying deeply hands-on — building AI agent systems, MCP integrations, and enterprise Java solutions. My work sits at the intersection of cutting-edge AI and production-grade engineering.
- AI Agent Architectures — Multi-agent swarm systems with specialized roles for research, analysis, and synthesis
- Model Context Protocol (MCP) — Building MCP servers and clients with Spring AI for tool-augmented AI workflows
- LLM-Powered Applications — RAG pipelines, chat memory systems, and text-to-query engines (InfluxQL, SQL)
- Real-time Observability — Visualization dashboards for monitoring agent-MCP tool interactions
- Bot Development — Telegram and WhatsApp bots with comprehensive command systems using Spring Boot
- trade-mcp-server — Stock trading MCP server with Spring AI for tool-augmented financial workflows
- mcp-client — MCP Client implementation with Spring AI
- mcp-server — MCP Server implementation for exposing tools to LLM agents
- zero-trade-app — Agentic AI system which trades with Zerodha Kite connect. Its a multi-agent architecture system with multiple features
- fno-conservative-algo — Conservative F&O algorithmic trading system with AI agents - Spring Boot 3 + Spring AI
- openai — OpenAI integration with Spring AI featuring RAG, vector search (pgvector), and chat memory
- anthropic — Claude AI integration with Spring AI
- gemini — Google Gemini API integration with Spring AI
- javagpt — Lightweight GPT implementation with Java 21, Spring Boot 3.2, and Deep Java Library (DJL) for local text generation
- query-builder — Text to Query generator
- telegram-bot-llm — Telegram bot with LLM code gen capabilities
- telegram-bot — Telegram bot with LLM and MCP capabilities
- websocket — Simple chat app with Web socket
- drools — Drools Rule Engine implementation with Spring Boot ⭐ 5
- executor — Executor Framework patterns and best practices in Java ⭐ 3
- kafka — Kafka producer/consumer implementation with Spring Boot
- elasticsearch — Elasticsearch search integration with Spring Boot
- dms — Document Management System using MongoDB GridFS
- cowin — CoWin Public API integration for Covid vaccination appointments
- bank-statement-analyser — Bank statement analyser with categorisation and control
- credit-risk-analyser — Credit risk analyser for various loan using Bank statement, Credit bureau report, GST / ITR
- jeasy — Jeasy Rule Engine with Spring Boot and Swagger
- stock-exchange-trade — Groww API wrapper for stock & F&O trading - Spring Boot 3
- fno-dashboard — UI Dashboard for tracking investment and strategies
- montecarlo — Monte Carlo simulations for casino game probability analysis ⭐ 1
- geneticAlgo — Genetic algorithm implementation
- tictactoe — Tic-tac-toe with AI player using minimax algorithm
- network — Dijkstra's algorithm for train scheduling optimization
AI & LLM — Spring AI, OpenAI API, Anthropic Claude, Google Gemini, Model Context Protocol (MCP), RAG, pgvector, Agent Swarm Architectures, Chat Memory Systems
Backend — Java 21, Spring Boot, Spring Framework, Kafka, Elasticsearch, MongoDB GridFS, WebSockets, PostgreSQL
Rule Engines — Drools, Jeasy Rules
Bots & Messaging — Telegram Bot API, WhatsApp integration, Spring Boot bot frameworks
Observability — InfluxDB, InfluxQL, OpenTelemetry, Real-time visualization dashboards
Algorithms — Monte Carlo Simulations, Genetic Algorithms, Graph Algorithms (Dijkstra), Game Theory (Minimax), Dynamic Programming
- 🦈 Pull Shark — Significant pull request contributions
- ❄️ Arctic Code Vault Contributor — Code preserved for future generations
- Advanced AI agent patterns and multi-agent orchestration
- High-performance LLM inference with Java/C++ (JNI)
- Production-ready RAG and text-to-query systems
- Agentic SaaS platforms for retail media and advertising
I'm interested in projects involving AI/ML integration in enterprise Java applications, Spring AI and LLM orchestration, MCP server/client implementations, rule engines and complex business logic, distributed systems and real-time processing, and algorithmic problem-solving.
- 📧 navneet.prabhakar007@gmail.com
- 🐙 You're already here — explore the repos!
💡 "Prototyping today's ideas into tomorrow's solutions"