I lead engineering teams at Target while staying hands-on with cutting-edge AI technologies and enterprise Java solutions. My passion lies in bridging the gap between AI innovation and production-ready enterprise systems.

Building the future of AI-powered enterprise systems with:

• AI Agent Architectures - Implementing Model Context Protocol (MCP) servers and clients with Spring AI
• LLM Integration - Working with OpenAI, Claude (Anthropic), and Google Gemini APIs
• RAG Systems - Building retrieval-augmented generation pipelines with vector search (pgvector)
• Spring AI Ecosystem - Pioneering enterprise AI integration patterns with Spring Boot

• trade-mcp-server - Stock trading MCP server with Spring AI
• mcp-client & mcp-server - Model Context Protocol implementations
• openai - OpenAI integration with RAG, vector search, and chat memory
• anthropic - Claude AI integration with Spring AI
• gemini - Google Gemini API integration

• drools - Rule engine implementation with Spring Boot ⭐ 5 stars
• executor - Executor Framework patterns and best practices ⭐ 3 stars
• kafka - Kafka producer/consumer with Spring Boot
• elasticsearch - Search integration with Spring Boot

• montecarlo - Monte Carlo simulations for casino games
• tictactoe - AI player using minimax algorithm
• network - Dijkstra's algorithm for train scheduling
• geneticAlgo - Genetic algorithm implementation

AI & LLM

• Spring AI, OpenAI API, Claude (Anthropic), Google Gemini
• Model Context Protocol (MCP), RAG, Vector Search (pgvector)
• Chat Memory Systems, Agent Architectures

Backend & Enterprise

• Java 8+, Spring Boot, Spring Framework
• Kafka, Elasticsearch, MongoDB GridFS, WebSockets
• Drools, Jeasy Rules (Rule Engines)

Architecture & Patterns

• Microservices, Executor Framework
• REST APIs, Event-Driven Architecture
• Enterprise Integration Patterns

Algorithms & CS Fundamentals

• Dynamic Programming, Genetic Algorithms
• Graph Algorithms (Dijkstra), Game Theory (Minimax)
• Monte Carlo Simulations

• 🦈 Pull Shark - Significant pull request contributions
• ❄️ Arctic Code Vault Contributor - Code preserved for future generations

Senior Engineering Manager @ Target | Bengaluru, India

• Leading engineering teams building large-scale retail technology solutions
• Driving AI adoption and innovation in enterprise systems
• Architecting scalable Java-based microservices

Continuously exploring the intersection of AI and enterprise software - currently focused on:

• Advanced AI agent patterns and swarm intelligence
• Production-ready RAG implementations
• Scaling LLM applications in enterprise environments

I'm interested in projects involving:

• AI/ML integration in enterprise Java applications
• Spring AI and LLM orchestration
• Rule engines and complex business logic systems
• Distributed systems and real-time processing
• Algorithmic problem-solving and simulations

• 💼 LinkedIn: linkedin.com/in/navneetprabhakar
• 📧 Email: navneet.prabhakar007@gmail.com
• 🐙 GitHub: You're already here! Check out my repositories

💭 Currently focused on building intelligent systems that scale. May be slow to respond, but I read everything!