ML Engineer focused on NLP, LLM systems, and real-world AI deployment. I work on recommendation systems and modern LLM pipelines including RAG, inference optimization, and production-focused ML design. I help engineers move beyond “model training” and think in terms of systems — retrieval, ranking, latency, scaling, and evaluation. If you’re preparing for ML/NLP interviews or transitioning into AI, I’ll help you structure your thinking, sharpen fundamentals, and avoid surface-level learning.