AI Engineer with strong experience designing and deploying scalable machine learning and LLM-powered systems across diverse applications. Skilled in NLP, computer vision, and generative AI, including Retrieval-Augmented Generation (RAG), prompt engineering and model fine-tuning. Proficient in building production-ready solutions using modern frameworks such as PyTorch and TensorFlow, and integrating LLM stacks like LangChain and LlamaIndex with vector databases. Experienced in developing end-to-end pipelines, from data ingestion and feature engineering to model training, evaluation, and deployment. Adept at building robust backend services and APIs, and deploying scalable systems on cloud platforms using containerization and orchestration tools. Strong understanding of MLOps practices, including CI/CD, experiment tracking, and model monitoring, with a focus on performance, reliability, and responsible AI.
