Hi, I'm Arvind Sisodiya — a Founder & AI Engineer passionate about building intelligent systems that solve real-world problems.
- 🔭 Currently building an enterprise AI Healthcare Platform using RAG architecture
- 🧠 Expert in LLM orchestration, RAG pipelines, and microservices
- 🌱 Exploring Agentic AI, LangGraph, and distributed systems at scale
- 🏗️ Architect of cloud-native microservices with Spring Boot, Kafka & Docker
- 💡 Believer in open-source — sharing knowledge with the community
- 🎯 Focused on: AI systems • Backend engineering • Healthcare tech
- 📫 Reach me at: LinkedIn
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A production-grade RAG-powered healthcare chatbot built with FastAPI + Next.js. Uses ChromaDB for vector search, LangChain for LLM orchestration, and OpenAI for intelligent responses.
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Full-scale microservices architecture with API Gateway, Eureka service registry, Kafka messaging, JWT auth, and third-party nutrition API integration.
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Role-based movie booking platform with Spring Boot 3+, MongoDB, Kafka, Docker, and JWT authentication. Full production-ready microservices setup.
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Microservices-based e-commerce backend using Spring Boot 3+, MongoDB, Actuators, Swagger, and event-driven architecture with full CRUD operations.
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| 🏆 Achievement | 📋 Details |
|---|---|
| 🤖 AI Healthcare Chatbot | RAG-powered chatbot — FastAPI + Next.js + LangChain + ChromaDB  |
| 🏗️ RAG Architecture | Built production-grade Retrieval-Augmented Generation pipeline with OpenAI |
| ⚡ Microservices Expert | Designed 5+ microservices systems with Kafka, Eureka, API Gateway |
| 🔐 Security Implementation | JWT + Spring Security + OAuth2 + Keycloak integrations |
| 📊 Event-Driven Systems | Kafka producer-consumer patterns across multiple production projects |
| 🎯 Full-Stack Delivery | End-to-end delivery from AI backends to Angular/React/Next.js frontends |
🚀 Building enterprise AI systems with LangChain & Agentic AI
🏥 Scaling AI Healthcare Platform with RAG + multi-agent workflows
🌐 Contributing to open-source AI and backend tooling
📚 Exploring LangGraph, vector databases, and LLM fine-tuning
⚙️ Designing cloud-native distributed systems at scale
