I am a Technical Lead with over 10 years of experience building scalable, production-grade systems across cloud and full stack environments. My work has evolved from distributed backend systems to AI-powered platforms used in real-world enterprise scenarios. Today, my focus is on building reliable systems first - and then integrating AI where it creates measurable value. I design and implement RAG-based systems, LLM integrations, context-aware platforms, and enterprise AI assistants that go beyond demos and work in production. My expertise spans full stack engineering (MEAN Stack), cloud platforms (AWS deep expertise, Azure, GCP), system design, and scalable architecture. I care deeply about clean design, reliability, performance, and long-term maintainability. Currently, I am focused on context engineering - ensuring structured, secure, and high-quality retrieval pipelines so AI systems remain accurate, trustworthy, and scalable. Beyond building systems, I mentor engineers, drive architectural decisions, and help teams adopt AI pragmatically and responsibly. Always building. Always learning. Focused on AI systems that work in the real world.