I am Machine Learning Engineering Manager at EY GDS. As organizations struggle to scale AI and realize business impact, my role is to conceptualize, build and deploy AI, ML @scale for EY Clients across sectors globally. I have scaled MLOps solutions and built target architecture working with client enterprise and data architects, CDOs and Businesses, which have enabled data-driven transformation for large commercial clients.I lead Go-To-Market(GTM) strategies working with EY globally on positioning of the AI and ML capabilities, evaluating vendors and partners to build an end-to-end solution architecture which have enabled multiple deals in this area of work with multiple sectors like Travel & Hospitality, O&G, Manufacturing, Automobiles and Healthcare companies. I have expertise across cloud platforms and have developed end to end MLOps architecture on Azure, AWS and GCP for EY clients. These are positioned as logical and technical architecture for clients. This has enabled clients to productionize more than 20+ AI use cases on Cloud in areas of customer, risk, and operations.Previously, I had done roles as AI & ML Solution Architect, lead Data Scientist at multinational system integrators. I have led innovations in client engagements through implementation of novel research in multi-modal AI, simplified AI, and enabling operationalization of complex AI architecture as part of enterprise solution. I am a thought leader in AI & ML within the organization and in industry. I mentor college grads in field of Data Science, AI/ML/MLOps/LLMOps in multiple colleges within India. I am passionate towards CSR activities and lead several initiatives in EY to help NGOs by exposing them to learning research, STEM & giving business use cases to develop their exposure and expertise.