Own product strategy, roadmap, and technical architecture across DevEx and communications APIs on Azure, spanning Azure Communication Services Calling/Native UI Library and Microsoft Graph API for Online Meetings (Copilot + MCP). Architected event-driven, pub/sub integration patterns using Azure Service Bus to decouple workflows and improve integration throughput with third-party vendors, scaling partner-ready API experiences to ~1M users. Designed and delivered the Native UI Library (Android/iOS) for calling experiences, driving a 60% adoption increase and supporting ~80% of native calling traffic through the library. Built data and analytics foundations on Azure and Microsoft Fabric to unify telemetry, measure adoption and reliability KPIs, and drive roadmap decisions across product and engineering. Engineered Calling Native for Android to enable in-vehicle communication experiences for Mercedes-Benz, coordinating internal customers (GroupMe, LinkedIn) and external partners (Cisco, Mercedes-Benz). Enabled third-party Presence integration in Europe and improved Copilot meeting orchestration via Graph API integration patterns, MCP, and partner guidance. Lead cross-functional execution with an engineering manager, ~8 engineers, and a designer; define architecture, set success metrics, and run stakeholder reviews to keep delivery on track.

Owned delivery of new capabilities and release management, managing priorities, client communication, support schedules, and production releases. Designed initial Azure serverless architecture using API Management, Service Bus, Cosmos DB, Functions, and Logic Apps (event-driven). Built monitoring, analytics, alerts, and runbooks to improve operational visibility and incident response. Implemented CI/CD pipelines (YAML + classic) across Dev/QA/Prod, reducing deployment time 40% and improving release reliability. Integrated automated unit/integration/UI tests into CI to increase coverage and reduce manual QA effort.

Built components to integrate IBM Watson NLP with an audio-to-intent workflow (punctuation + intent extraction) using .NET and Python. Designed a multi-cloud workflow across Google, IBM Watson, and AWS to process concurrent calls and intents in parallel. Established maintainable architecture (IoC) and observability (centralized logging/exception tracking) to improve reliability and troubleshooting.

Implemented an NLP + sentiment analysis pipeline to classify survey comments using R and Azure Cognitive Services, including translation. Built mobile and web apps (Xamarin/Cordova + Angular) and improved performance using Azure background processing, storage, notifications, and ML services.

Led HR/logistics systems; delivered web + mobile apps and improved UX/performance using MVC patterns and asynchronous UI approaches.

Built work-order systems and flexible search/analytics; delivered in TDD/Scrum across .NET client/server stacks.

Maintained payroll system; root-caused defects, shipped fixes, and managed work orders/version control.

Implemented business/data layers and unit tests for a quality requirements system (C#, stored procedures, 3-layer architecture).