I’m a Technical Architect with 9+ years of experience building scalable backend systems and modern AI-powered applications. My core expertise spans Java, Python, microservices, distributed systems, and cloud-native architectures on AWS. Over the past few years, I’ve focused heavily on **Agentic AI systems and LLM-based architectures** — designing intelligent workflows that combine tools, reasoning, and automation to solve real-world problems. I enjoy breaking down complex AI concepts such as transformers, attention mechanisms, RAG architectures, and LLM training into practical engineering insights. I’ve consistently been recognized for high-impact contributions in my professional career, receiving multiple “Exceeds Expectations” awards and a “Star of the Month” recognition. Beyond my day job, I’m passionate about **teaching engineers how to build real-world AI systems**, not just prototypes. Through mentoring and workshops, I help developers understand how to design, implement, and scale agentic AI applications using Java and Python. If you're interested in learning how modern AI systems are built — from fundamentals to production-ready architectures — I’d be happy to guide you.