Teams at FDB

Serve as a technical thought partner to Product and Engineering, assessing architectural feasibility, platform scalability, integration strategy, technical risk, and build-vs-buy decisions. Define platform standards, API strategies, and modernization tradeoffs; lead due diligence for third-party platforms; evaluate emerging technologies (including GenAI); and produce executive-ready recommendations that align product strategy with engineering execution.

Design, build, and optimize Azure cloud-native applications using .NET/C#. Implement serverless, distributed architectures, data pipelines, and CI/CD. Leverage AI-assisted development tools, apply TDD and automated testing, mentor engineers, participate in architecture and DevOps, and ensure performance, security, and compliance.

Develop, maintain, and improve the Prizm Medical Device Database and MDMS UI. Build ETL/integration pipelines, automate workflows with Python, implement front-end features with Java/HTML/CSS, integrate and validate AI-enabled tools, troubleshoot APIs and data builds, and collaborate with DBAs and cross-functional teams to ensure data quality and system performance.