Microsoft - Commercial Software Engineering
Commercial Software Engineering (CSE): enterprise-facing engineering on Microsoft technology—designing and shipping new products, cloud migrations and emerging prototypes. I specialized in blockchain and peer-to-peer use cases.
I worked in Microsoft’s Commercial Software Engineering (CSE) organization — partner-facing engineers who help enterprises adopt Azure and co-build emerging product opportunities on Microsoft technology. Day to day, that meant translating goals into architecture, specifications, and shippable MVPs with external teams—often bridging engineering, stakeholder alignment, and hands-on implementation.
What Commercial Software Engineering Focuses On
A major part of my work was helping enterprises migrate parts of their backend infrastructure to Azure cloud services—improving reliability and scalability while aligning with Microsoft’s recommended patterns and operational tooling.
Blockchain Specialization: Ethereum + IPFS Marketplace MVP
Within CSE, I specialized in blockchain engagements. One highlight was an end-to-end MVP with a military contracting firm: an Ethereum + IPFS-based 3D printing schematic distribution system—effectively a gated marketplace designed for authenticated participants, global availability, and verifiable peer-to-peer downloads.
The system design combined smart contracts with public/private key cryptography, signing, and access control to enable trust-minimized distribution between known parties. Because Solidity and IPFS were still early and rapidly evolving at the time, I played a key role in turning emerging patterns into an actionable spec the team could build against.
I led knowledge sharing and upskilling across both sides: I was the only member of our Microsoft team with prior blockchain experience, and the client team was new to the space. I helped onboard engineers, shape the architecture and specification, and deliver the project through an onsite build effort. The work culminated in a functional MVP and external-facing publication from the partner, and helped support follow-on government funding.
Workshops & Partner Enablement (Azure ML)
In addition to delivery work, I supported Microsoft-led workshops and partner events. For example, I helped run a workshop in Sydney, Australia focused on early enterprise adoption of image recognition models on Azure—working directly with industry partners to prototype workflows, answer technical questions, and accelerate adoption.