| *Note for professional achievements (some numbers obfuscated) |
| Oversaw the product lifecycle, GTM strategy, product launch, and business relationships for modernizing, digitizing a US State’s $XX million Medicaid program using AI workflows, ML models and Variability Analysis. Successfully launched THE FIRST OF ITS KIND Integrated AWS Cloud Information Systems for multiple healthcare programs like Medicaid, Medicare, SNAP, Child Care digital platform. It was made available to 6Mn users, reducing annual healthcare processing costs by $XXMn. Recognized by the Cabinet of Healthcare and Family Services as the BEST ENGINEERING AND PRODUCT INNOVATION for public-sector healthcare in 2021 and 2022 |
| Led 10 member team and collaboration across 15 stakeholders, including the Center for Medicaid Services, Cabinet of Healthcare and Family Services to drive SDLCs, engineering cycles, product vision, strategy, go-to-market approach, design, customer engagement, and rapid experimentation with AI process flows, ML models for Unsupervised Learning and LLMs - for launching the FIRST OF ITS KIND innovative MS Azure AI telehealth product for the US Government public-sector healthcare programs of Medicaid, Medicare, SNAP, LTSS. This was during COVID-19, encompassed 33000 healthcare providers and 16 million end-users across 16 US States. This mission-critical initiative decreased operational healthcare costs by per State by $X million over two years and saved over XXK LIVES during COVID-19 |
| Headed 18-member Software Engineering, Data Science and Product Management teams focusing on technical as well as specialized AI data models (KNNs, Neural Networks, SVMs), ML workflows user journeys, use-case scenarios, and product metrics framework for launching the LARGEST digital Long-Term Care program for a US State - which also used DevOps, advanced cloud computing. Collaborated with the Department of Medicaid Services and Cabinet of Healthcare and Family Services with engineering practices then standardized for other US States |
| Led the redesign, Agile SDLCs of SNAP, Child Care programs for 6 US States with next-gen UI and software engineering processes for intelligent UI workflows. Improved timely healthcare for 8Mn healthcare eligible individuals and decreased Healthcare Premium costs by $XMn/year |
| Mentored 100+ Product Managers, Software Engineers, Data Scientists and led knowledge-sharing sessions on advanced software engineering topics, fostering a culture of continuous learning and improvement. |
| Published 10+ Whitepapers for Software Engineering Practices for AI workflow integrations in public-sector healthcare information systems |