I am an AI/ML Engineer with a strong foundation in machine learning, deep learning, and data-driven system design. My work focuses on developing, optimizing, and deploying scalable AI solutions across domains such as computer vision, natural language processing, and data engineering. I have hands-on experience with end-to-end ML workflows, including data preprocessing, model training, evaluation, and production deployment, with an emphasis on reliability and real-world applicability.
I am particularly interested in building robust deep learning models, applying transfer learning, and integrating MLOps best practices to ensure reproducibility, monitoring, and scalability. I value clarity in problem formulation, efficiency in implementation, and alignment with current industry standards. My approach combines strong theoretical understanding with practical engineering execution to deliver AI systems that perform effectively in real-world environments.
