Matthew Corven

I'm a hands-on engineering leader who thrives at the intersection of architecture, development, and team empowerment. Currently leading a distributed team of engineers at Inovalon, I guide complex projects from discovery through delivery while championing DevOps culture and developer experience.

What I bring to the table:

• Leadership & Mentorship – I believe the best architecture comes from collaborative discovery. I lead teams through the full lifecycle: requirements gathering, solution design, implementation, and monitoring.
• Enterprise SaaS Architecture – Specialized in cloud-native microservices, micro-frontends, and event-driven systems. I've architected solutions serving nationwide healthcare and pharmacy clients, global reinsurance operations, and enterprise learning platforms.
• Full-Stack Expertise – Deep experience with .NET C# backends (REST APIs, background workers), TypeScript frontends (Angular, React, Aurelia, Lit-based Web Components), and modern DevOps practices on Azure.
• Practical Innovation – Whether it's seamless browser-based document scanning and label printing, electronic prescription transmission, or Power BI embedding optimization, I love solving complex technical challenges that directly impact users.

My Technical Toolkit:

• AI: Augmented workflow during discovery, whiteboarding, development planning/execution/testing and every facet of bug triage & resolution
• Developer tooling: Scripting in Node.js using Typescript & Javascript, Powershell, Bash
• Cloud & DevOps: Azure & AWS, Azure DevOps CI/CD pipelines, IaC
• Data: SQL Server (on-prem, Azure & AWS), PostgreSQL, S3
• Backend: .NET C#, REST APIs, microservices, zero-trust integration and RBAC, OIDC authentication, Entity Framework, Dapper, ADO.NET
• Frontend: Angular, Aurelia, Web Components (Lit), Blazor, Razor Pages
• Quality: Test automation, coding standards enforcement, self-documenting code

Matthew Corven is an engineering leader with 3 years of hands-on AI integration experience, currently guiding distributed teams at Inovalon through complex enterprise projects.

He architects sophisticated AI-augmented workflows that go beyond simple automation—building multi-stage systems with deliberate model selection, Azure DevOps tool integration, and adversarial verification frameworks. His documented prompt libraries have successfully transferred to external organizations without his direct involvement, a rare marker of truly systematized knowledge.

These capabilities position him to solve the hardest problems in enterprise AI adoption: not just implementing tools, but building the infrastructure that makes entire teams more effective.

Three years running a local AI meetup reveals someone who doesn't just use these tools—he shapes how others think about them.