As Director at Google Cloud, I lead our most complex customer implementations that demand deep business acumen and technical expertise. I leverage my knowledge of emerging technologies of AI, ML and Gen AI to deliver solutions tailored to each customer's unique needs.- Architected and led highly complex software and data engineering initiatives for Fortune 500 companies during their transition to the cloud. Partnered closely with cross-functional product and engineering teams to design innovative solutions on Google Cloud Platform.- Spearheaded the development of scalable big data pipelines, leveraging data warehouses, lakes and analytics tools. This enabled customers to gain valuable insights from massive datasets. - Built machine learning platforms to put AI/ML and Gen AI models into production. Collaborated with data scientists to implement MLOps, automation and continuous delivery of ML applications.- Designed resilient cloud native applications using technologies like Kubernetes, microservices, and serverless computing. This enhanced reliability, scalability and operational efficiency.- Led large teams of engineers distributed across geographies. Coached and mentored team members, promoted best practices, and fostered a culture of innovation and agile delivery. - Combined technical leadership with communication skills to simplify complex architectures for stakeholders. Earned trust as the key technical lead through transparency and stakeholder alignment.- Passionate about staying on the cutting edge of cloud, ML/AI and data technologies. Continuously learn, experiment with, and apply new technologies to solve real-world problems.

Direct report to the Chief Strategy Officer, who reports to the CEOLead a team of cloud architects, data management, and data sciences to drive digital transformation Lead a global governance model, identify and enroll key stakeholders, develop ROI models, and champion business cases. Leading strategic R&D and Commercial use cases.R&D Initiatives - Develop AI and ML algorithms on surgical videos, X-rays, CT and MRI Scans, and clinical data to improve Robotic surgeries, pre-operative, operative, and post-operative careKey Commercial Initiatives- Develop advanced AI algorithms in partnerships with hospital systems to develop patient pipeline, anticipated surgical needs, and predict product ordersdevelop Customer 360 leveraging graph database

Global head for commercial Data Management, advance analytics and Data Sciences with end to end responsibility to drive commercial effectiveness and drive Data, AI and ML driven innovation in Pharmaceutical industry.Lead first in industry transformation of legacy Data warehouse to a AWS based big data platform.Created the platform to develop Python, and R based statistical models and enable data sciences

Senior Director - Pharmacy - IT, Direct report to the CIO responsible for IT architecture for the Pharmacy, Health and Wellness group•Established the Architecture organization in Pharmacy Health and Wellness group of Walgreens and in two years have more than 20 full time employees and consultants.•Collaborated with various lines of business in developing the IT strategy on creating a new line of business of ACO and Connected Healtht.. Developed the IT architecture and recommended and evaluated and help the business leadership select various products to establish the platform for the connected health and ACO •Lead the requirements gathering and selection of an EMR for Walgreens, currently on the second phase of deployment of the EMR system across the 8200 stores and Take Care clinics, WIRS and Specialty business. Replaced the eRx Platform with new platform based architecture to meet future business growth

Leading the architecture of a product to be offered by AMA, the product would be an integrated EMR, EHR solution integrated with leading Healthcare vendors, National and local labs, offering the Physicians a 360 degree view of their patients and tools to effeciently run their practice.

As a lead architect lead a team of Solution Architects, introduced an innovative IT approach to claim processing by segmenting the claim process into loosely coupled modularized components such as Pre-Adjudication, Adjudication, COB etc and developed an integrated architecture by giving each module flexibility yet connected with a combined process

Lead multiple engagements as Technical Architect- key clients- Anthem / Wellpoint, State of IN Medicaid, State of CA Medicaid - ISAWS