As a seasoned engineer with extensive experience in AI and machine learning, I possess a unique blend of skills in full-stack data science, machine learning, and software engineering, complemented by a solid foundation in mathematics. My expertise lies in designing, deploying, and monitoring AI/ML software products at scale, adhering to MLOps/LLMOps and best practices in software engineering.

Having previously led the MLOps practice at Concentrix Catalyst and the ML Engineering global team at Levi Strauss & Co., I have developed a profound understanding of implementing real-time and batch time ML solutions for several Fortune 500 enterprises. This experience has significantly enhanced my ability to manage big data and leverage cloud engineering, particularly with Azure's AI, GCP and AWS.

Currently, at Microsoft, as a Principal Technical Member of the prestigious AI Global Black Belt team, I am dedicated to empowering the world's largest enterprises with cutting-edge generative AI and machine learning solutions. My role involves driving transformative outcomes through the adoption of the latest AI technologies and demystifying the most complex architectural and development patterns. Additionally, I am actively involved in shaping the industry’s direction in LLMOps and contributing to open source by publishing impactful software and AI solutions.