Srinayana Patil

 Driving an AI-first inventory optimization initiative by partnering with directors, external vendors, and IT to define data requirements, evaluate modeling approaches, and shape strategic direction  Partner with senior stakeholders to define system requirements and deliver operational platforms aligned with strategic business objectives  Delivered 37.5% cost savings, as measured by P&L impact, by leading an RFP process that gathered internal stakeholder requirements and executed a targeted negotiation strategy before awarding the contract  Designed KPI reporting frameworks that created executive visibility into operational performance and enabled faster strategic decisions

Orchestrated successful high-profile events, including Evening With Industry, through strategic communication with 15+ companies and university board

Mentored underclassmen and transfer students in engineering at UTK

 Led end-to-end product lifecycle from discovery through launch for a consumer-facing campus parking application, conducting user research and competitive analysis to reduce search time by 77%  Developed an AI bias visualization tool that improved model transparency across hundreds of thousands of nodes, supporting responsible AI practices and strengthening interpretability across the ML lifecycle

• Collaborated with graduate research assistants and two professors to develop innovative software for the Pepper Robots aimed at assisting lower income Alzheimer’s patients • Designed and implemented engaging activities and layouts for the MUSE app on Android Studio (Kotlin) to help Alzheimer’s patients through Music Based Intervention using Socially Engaging robots • Developed a cost-efficient probe to track compost temperature data, mitigating fire hazards on farms, following a product roadmap focused on farm safety and positive customer experience • Published “Rooted in the Collective: Urban Farmer’s Perspectives on Community-Empowered AI in agriculture”, highlighting the integration of a “human in the loop” approach in developing ethical AI solutions

• Developed a PowerApps application to streamline financial team’s Collections testing process, replacing a complex Excel-based workflow with a simplified, user-friendly solution • Enhanced efficiency and reduced operational efforts with software solutions using C# .NET Framework and PowerApps with SQL and SharePoint as backend databases, ensuring compliance with SOX regulations to minimize risk and maintain the accuracy, integrity, and security of financial data • Gained experience researching and working with AI tools/models such as Virtual Agent Bots, Azure AI model, Power Automate, and Hopfield network model, while evaluating potential solutions to decrease browsing time for SOX guidelines and enhance risk identification