Senior Consultant at EY Studio+ helping organizations make complex technology work in the real world. Starting at SAP America and building through four years at EY, I've shipped retail platforms, cleared federal audits, and shaped AI strategy for Fortune 500 clients. My lane is connecting business goals with the technical execution needed to make systems reliable, useful, and ready to scale.
I started at SAP America coordinating product delivery across Germany, the US, and India — learning how enterprise decisions move when product, engineering, and business teams all have a seat at the table. That foundation carried into four years at EY, where I helped ship a 100+ location retail platform, supported a federal cloud implementation with zero audit findings, and built observability practices that reduced incidents and response times.
Now at EY Studio+, I work at the intersection of delivery, reliability, and AI strategy — helping Consumer, Retail, and Health teams turn ambitious technology ideas into practical systems, workflows, and operating models that can survive real production environments.
I came up through Informatics and a Master's in Information Systems at Indiana University's Kelley School of Business. Alongside certifications across AWS, Azure, SAFe, and DeepLearning.AI generative AI coursework, I'm currently working through Azure AI-901 and AI-103 prep while coding AI-focused side projects.
Map the real problem before touching a solution.
Design the system, the process, and the rollback plan.
Build it, test it, get it live with cross-team sign-off.
Instrument everything. Let the data decide what's next.
Leading quality engineering across four cloud products for a Fortune 100 restaurant chain — owning release sign-off, building observability frameworks, and shaping AI strategy for Fortune 500 healthcare clients. The connective tissue between engineering velocity and executive confidence.
Embedded across three concurrent client engagements as Lead QE, Performance Engineer, and BA — shipping a 100+ location retail platform, closing a federal cloud with zero audit findings, and load-testing an e-commerce API under production traffic. Rookie of the Year nominee among 100+ peers; 3× Bravo Award recipient.
Coordinated SAFe delivery across Germany, the US, and India alongside the Chief Product Owner — managing ARTs, tracking OKRs, and keeping program increments on schedule. Facilitated design thinking and agile upskilling workshops for 50+ cross-functional professionals spanning product, engineering, and business roles across three continents. UX research contributed to SAP FlexConnect; recognized as SAP Official Challenge Winner.
Embedded with a Fortune 100 retailer's cloud engineering team to harden releases — rollback standards, pre-deployment risk patterns, and an observability framework built from structured logs, dashboards, and diagnostic metrics.
AI and technology points of view for Fortune 500 healthcare clients — capability assessments, tech stack benchmarks, and persona-based journeys, anchored in live validation of real customer service experiences.
Led quality engineering for an in-store production platform rollout: automated regression with Kotlin and Appium, cross-team triage, weekly release sign-offs.
Coordinated agile delivery on a Microsoft GCC High implementation, ensuring FedRAMP and NIST 800-53 controls were executed and verified end to end.
20+ JMeter test scripts and load benchmarks built with teams across the US and India for a major e-commerce launch, tracked in Azure DevOps, AppDynamics, and Grafana.
Coordinated SAFe delivery with the Chief Product Owner across Germany, the US, and India — managing ARTs, tracking OKRs, and keeping increments on schedule. Facilitated design thinking workshops for 50+ professionals across three continents; UX research shaped SAP FlexConnect.
Most of my day-to-day commits live in private client repositories — public experiments in AI and automation land at github.com/udhawan97 as they're ready.