New York, New York, United States
• Led projects with team sizes of upto 6 engineers
• Often worked directly with C-suite or senior leaders to shape technology strategy for large global companies
• Led technical decision-making with Firm leadership and client executives
• Founding member of McKinsey’s Industrial IoT practice - created project playbooks, technical architecture and published internal knowledge-base articles
• Coached engineering teams at clients and mentored McKinsey engineers to build scalable software solutions
— IoT: Built end-to-end Industrial IoT solutions to capture and store large amounts of sensor data for ML-powered applications in manufacturing facilities
— Full stack web: Built modern JS apps using React, NodeJS, AWS, Azure, Java Spring, GraphQL
— MLOps: Created DevOps workflows and collaboration practices for data science projects. Built deployment pipelines and SDKs for reusability and rapid scale-up of IoT+ML across multiple industrial sites