I am a Senior Backend Engineer and Applied AI Engineer with 8+ years of experience designing scalable backend platforms, distributed systems, and production-grade microservices. My engineering background is rooted in building reliable, high-performance systems using Java, Spring Boot, Kafka, PostgreSQL, Redis, DynamoDB, and cloud-native architectures. I have worked on backend platforms that require strong system design, scalability, performance optimization, fault tolerance, and clean API architecture. Today, my focus is expanding into Applied AI and Agentic AI — building real-world AI systems that combine LLMs, tools, workflows, APIs, automation, RAG, and production backend infrastructure. I am a US patent holder in LLM fine-tuning, and I am deeply interested in how AI agents and GenAI systems can be integrated safely and practically into enterprise workflows. I also create and mentor around system design, backend engineering, and AI engineering, helping developers move beyond theory and understand how real-world systems are built, scaled, and operated. What I Work On 🚀 Backend & Distributed Systems Microservices, API design, event-driven architecture, scalability, performance, reliability, caching, messaging, and data-intensive systems. 🤖 Applied AI Engineering LLM apps, RAG systems, AI agents, tool calling, workflow automation, AI-assisted developer tools, and production GenAI integrations. 🧠 System Design & Engineering Education Helping engineers understand architecture, trade-offs, real-world backend design, and practical AI project building. My long-term focus is to build and teach practical systems at the intersection of backend engineering, distributed systems, and applied AI.