Experience
Building workflow products and the systems used to ship them since 2018.
Roles at Zapier, Microsoft, and DCS spanning customer-facing automation, CI/CD, testing infrastructure, accessibility, security, and AI tooling.
Zapier
Senior Software Engineer
January 2026 to present
Remote
I lead full-stack product and platform work across workflow automation, developer productivity, performance, security, and delivery infrastructure.
Selected impact
Platform performance and developer productivity
- Led build and CI/CD improvements for Zapier’s largest Next.js and TypeScript application, reducing production builds by 25%, test execution by 30%, CI shard allocation by 90%, and average pipeline costs by approximately 72% while making rebuilds three times faster and improving page loads by 15%.
- Led the migration of presence detection from Ably to Firebase, reducing annual infrastructure costs by approximately 95% and establishing a migration strategy adopted by additional teams.
- Led internationalization for one of Zapier’s largest repositories, extracting more than 15,000 user-facing strings and introducing the product’s first scalable translation workflow with Lokalize.
- Automated production deployment pipelines across multiple services, eliminating manual releases and improving deployment consistency.
Security, compliance, and AI tooling
- Led a one-month initiative to bring 11 production services into compliance, completing the effort ahead of schedule while exceeding organizational security requirements.
- Developed an AI-powered security triage agent that reduced manual security analysis from hours or days to minutes, accelerated vulnerability remediation, and became widely adopted across multiple engineering teams.
Product and enterprise outcomes
- Led resolution of critical issues affecting strategic enterprise customers, helping retain high-value customer relationships and enabling the successful onboarding of a major enterprise customer.
- Designed editable, versioned automation templates and automatic draft saving to improve collaboration and protect complex workflow edits from accidental data loss.
Focus
- • Engineering productivity and performance
- • Workflow collaboration
- • Security automation and AI tooling
- • Compliance and service maturity
- • Enterprise customer success
Technologies and systems
TypeScriptReactNext.jsNode.jsPythonGoSQLFirebaseAI engineering
Microsoft
Software Engineer II
August 2022 to January 2026
Redmond, Washington · Remote
I led product, developer-tooling, test-automation, and accessibility initiatives for Power Platform and Copilot Studio.
Selected impact
Product engineering and Copilot
- Partnered with designers and product managers to deliver and optimize the Copilot Studio Automation Editor ahead of schedule, improving performance for a feature that grew from more than 40,000 to more than 250,000 monthly active users during my tenure.
- Enabled external API integrations in Copilot automations, expanding Microsoft Copilot Studio and Microsoft 365 capabilities.
Quality, accessibility, and delivery systems
- Led a cross-team initiative that scaled automated test coverage across Power Platform from approximately 20% to 100% and improved pass rates from 15% to 96%, reducing regressions, eliminating vendor reliance, and saving 22 weeks of developer time annually.
- Led WCAG 2.1 accessibility testing and remediation for Copilot Studio, supporting adoption by enterprise and government customers.
- Developed release dashboards, feature-flagging tools, Playwright test generators, and coverage reporting that reduced manual work across multiple organizations.
- Engineered Azure DevOps YAML delivery pipelines for Power Platform and Copilot services, removing manual deployer roles and saving an estimated three to five months of engineering time annually.
- Built monitoring and region-specific end-to-end validation pipelines that improved regression detection, global rollouts, and backward-compatibility assurance.
AI safety and technical leadership
- Developed automated adversarial evaluation pipelines for GPT-4, identifying reliability and safety issues that were responsibly disclosed to OpenAI.
- Mentored junior engineers through office hours, onboarding, and technical guidance, improving adoption of automation tooling and supporting long-term engineering growth.
Focus
- • Developer tooling
- • Copilot Studio
- • Accessibility and test automation
- • AI security testing
Technologies and systems
TypeScriptReactPythonPytestPlaywrightAzure DevOpsGPT-4
Microsoft
Software Engineer
May 2020 to August 2022
Bellevue, Washington · Remote
I built product features and test infrastructure for Power Automate, focusing on collaboration, regression detection, and engineering ownership.
Selected impact
Product and collaboration experiences
- Implemented collaborative automation sharing with TypeScript, React, C#, and .NET, which surpassed one million monthly active users and became one of Power Automate’s most widely adopted features during my tenure.
- Developed an automation versioning and history proof of concept that won an internal hackathon and was later adopted as a core product feature used by more than 40,000 people each month.
Testing infrastructure and ownership
- Built Power Automate’s TypeScript and Playwright UI testing framework, eliminating manual bug bashes and reducing regression detection time by 60%.
- Developed JUnit and JSON to TRX converters that added Azure DevOps support for test-ownership metadata and linked failures directly to responsible engineering teams.
- Created a pipeline failure-notification system that delivered reports to test owners and accelerated resolution of critical issues.
Focus
- • Power Automate
- • Product engineering
- • Testing infrastructure
Technologies and systems
TypeScriptReactC#.NETPlaywrightAzure DevOps
DCS Corporation
Software Engineer
December 2018 to February 2020
Warren, Michigan
I developed monitoring, computer-vision, and delivery infrastructure for the Department of Defense’s Next Generation Combat Vehicle program.
Selected impact
Systems and applied engineering
- Developed network-monitoring and video-streaming latency tools using C, C++, Python, Qt, and OpenCV.
- Contributed to AI and machine-learning initiatives for image detection and navigation in robotic systems.
Delivery infrastructure
- Implemented CI/CD pipelines with AWS, Docker, and Jenkins, enabling automated deployments for the first time.
Focus
- • Network monitoring
- • Video systems
- • Delivery infrastructure
Technologies and systems
C++PythonQtOpenCVAWSDocker
Education
Georgia Institute of Technology
Master of Science in Computer Science
Artificial Intelligence concentration
May 2023
Wayne State University
Bachelor of Science in Computer Science
December 2018