I’m a Software Development Engineer working with AI Engineering, Data Science, and production-grade LLM systems. I enjoy helping aspiring professionals understand how AI systems are designed, built, and deployed in real-world environments, beyond tutorials and surface-level examples. In my sessions, I focus on helping learners connect core concepts with practical implementation. I guide individuals through end-to-end AI and backend projects, explaining not just what to build, but why certain design and engineering choices matter in production. What I Can Help You With LLM and RAG systems using LangChain, FAISS, MCP, chatbot design, and quality evaluation techniques Backend engineering with Python and FastAPI, including async APIs, WebSockets, rate limiting, caching, and clean API design Cloud and infrastructure basics in Azure: Blob Storage, VM deployments, Nginx, load balancers, and cloud schedulers AI workflows and system thinking: multi-step reasoning, agent patterns, intelligent automation, and structured outputs Data and ML foundations: data pipelines, analytics, ML workflows, and practical visualization How My Sessions Work I try to keep sessions: Clear and easy to follow Hands-on and project-oriented Focused on real engineering trade-offs Tailored to your background and goals Whether you’re exploring AI, Data, or Backend roles, building your first serious project, debugging an existing system, or preparing for interviews, I aim to provide practical guidance you can actually apply. My goal is to help you build confidence and clarity while learning how real AI systems are engineered and maintained.