Shakil Khan is a Senior Software Engineer and Technical Lead with over a decade of experience building production-grade systems across computer vision, machine learning and AI infrastructure. His work focuses on deploying reliable multimodal and vision-language models in real-world environments with an emphasis on system design, model optimization, edge deployment and MLOps. He has led end-to-end development of AI-powered products spanning data pipelines, model training, inference optimization and production operations. Shakil regularly works at the intersection of classical systems engineering and modern deep learning and is particularly interested in bridging the gap between research benchmarks and deployable AI systems.