Open to Consulting & Full-Time Opportunities

Matthew
Devlin

Full-Stack Engineer. Data Architect.
Accessibility Champion.

8+ Years at Microsoft
5M+ Users Impacted
90% Bug Reduction
Get in Touch View my work →
Core Proficiencies — Live
Frontend Engineering95%
Power BI / Data Viz98%
Accessibility (WCAG 2.1)98%
TypeScript / Angular93%
Data Engineering / SQL88%
Cloud (Azure / AWS)85%
80%↓
Build Time Reduction
SDE2
Microsoft Level 62
3.85
MS GPA @ UMD
LLC
Founded 2025
Career

Where I've built
things that matter

Devlin Programming LLC
Jan 2025 – Present
Active
Founder & Software Consultant
Seattle, WA (Remote)

Founded and operate a software consulting practice delivering data, web, and platform modernization services to small and mid-size organizations. Leveraging deep internal knowledge of Microsoft Power BI architecture to help companies design, optimize, and scale their reporting platforms.

  • Designed and rebuilt end-to-end data pipelines to improve data quality, reliability, and reporting performance for multiple clients.
  • Advised clients on Power BI report architecture, dataset modeling, and performance best practices — reducing report load times and infrastructure costs.
  • Delivered Accessibility (a11y) consulting to help organizations meet WCAG and inclusive design standards.
  • Led modernization of legacy web applications, including AngularJS → modern Angular migrations, improving performance, security, and long-term maintainability.
  • Redesigned and modernized legacy APIs to improve maintainability, scalability, and developer experience.
  • Performed database performance tuning and optimization across SQL Server and cloud data platforms.
  • Partnered directly with stakeholders to scope projects, define technical strategy, and deliver production-ready solutions.
Microsoft (Power BI)
May 2016 – Dec 2024
SDE2 · Level 62
Software Engineer
Redmond, WA

Spent 8+ years at Microsoft across three roles — intern, SDE1, and SDE2 — working on the Power BI product touching millions of users globally. Led full-stack feature development, accessibility programs, and engineering systems improvements.

Full-Stack Engineer
  • Implemented features focused on improving the new user onboarding experience, significantly increasing customer satisfaction and new user retention rates.
  • Led development end-to-end: requirements → UX design (Web, Desktop, Mobile with Angular/TypeScript) → backend endpoints → database schema → E2E tests → rollback plans.
  • Post-deployment: built telemetry reports in Power BI to measure feature impact and guide future efforts.
Lead Accessibility Engineer
  • Managed a team of engineers and testers to take Power BI from a failing accessibility grade to full WCAG 2.1 compliance — a 5-year multi-team initiative.
  • Created a standardized accessibility component library adopted across product teams, significantly reducing per-feature accessibility time.
  • Built an E2E accessibility testing framework that reduced bugs encountered during testing by over 90% for new features.
  • Coordinated adoption of these standards with Office, Teams, Dynamics, and Azure product groups.
Engineering Systems SME
  • Introduced incremental builds, reducing build times by over 80% and significantly cutting build server COGS.
  • Implemented protocols to automatically detect and disable flaky tests and unstable build machines from the build pool.
  • Diagnosed and resolved dependency graph issues causing unnecessary full-app rebuilds on small changes.
Leidos
Jun 2014 – Aug 2014
Junior Software Engineer
Columbia, MD
  • Worked on DigitalEdge™, a big data processing and enrichment platform for high-security government projects.
  • Implemented a metrics collection feature to surface product performance gaps and built a REST API with Ruby on Rails + HTML5/JS for visualization.
University of Maryland
Jan 2014 – May 2017
Graduate TA & GSS Leader
College Park, MD
  • Taught 4 sections per week (120+ students per semester), including exams, office hours, and programming assignments.
  • Founded the Guided Study Sessions (GSS) program for CS — reduced the course failure/drop rate from 35% to under 10%.
  • Worked with the University to create a paid position for CS GSS leaders based on the program's success.
Expertise

A broad toolkit,
applied with depth

⚡
Frontend Engineering
Angular / AngularJS React TypeScript JavaScript NgRx CSS / Sass / Less D3.js NodeJS Cypress Selenium
📊
Data & Analytics
Power BI DAX Data Modeling Telemetry Reporting Pipeline Design SQL Server Query Optimization ETL Dataset Architecture
♿
Accessibility
WCAG 2.1 ARIA Screen Reader Testing Axe-Core A11y Audits Inclusive Design E2E a11y Testing
🏗
Backend & APIs
C# / .NET Java Python Ruby on Rails REST API Design API Modernization Database Design Scala
☁️
Cloud & DevOps
Azure AWS Google App Engine CI/CD Pipelines Incremental Builds PowerShell Unix / Linux
🤖
AI / ML Research
Computer Vision Neural Networks SLAM / Robotics Gesture Recognition Spatio-Temporal Models ROS C / C++
Portfolio

Selected reports
& dashboards

Power BI Home Usage Dashboard
Power BI · Usage Analytics
Home Usage Analytics Dashboard
Deep-dive dashboard tracking widget navigation patterns, artifact load distributions, user state segmentation (Acquired, Engaged, Creator), and CTR analysis across 187K+ selected users. Features cross-filtering by user state, tenant, and activity metrics with custom sliders for days active and content opened.
HomeCTR by Load Time Dashboard
Power BI · Performance Analysis
HomeCTR vs. Load Time Analysis
Multi-state trend analysis correlating Home page click-through rates against average load time bins — from under 1 second to over 5 minutes — across 3.17M users segmented by Continuously Active, New, Back from Churn, and Back from Dormant states. The data reveals clear performance-engagement relationships to guide infrastructure investment decisions.
Favorites and Frequents Dashboard
Power BI · Engagement Intelligence
Favorites & Frequents Engagement Report
Comprehensive engagement report across 5.46M users analyzing screen resolution distributions (1920px to 3440px), item load distributions for Favorites and Frequents widgets, cumulative navigation funnel, and how engagement scales with days active over 28-day windows. Includes real-time slicers for user state, engagement, and customer type.
Academic

Academic
background

University of Maryland, College Park
Master of Science in Computer Science
3.85 GPA · Sep 2015 – May 2017 · Combined BS/MS Program
Graduate Studies: Computer Vision, AI, Machine Learning, Robotics, Parallel Algorithms
Thesis: Action-Based Learning: Gesture & Object Recognition using Spatio-Temporal Domain Models
Bachelor of Science in Computer Science
3.70 GPA · Sep 2013 – May 2016
Dean's Scholarship College Park Scholars — Science & Technology Smith School QUEST Honors Program (Cohort 23)
Let's Connect

Get in touch

Whether you need a Power BI expert, a full-stack engineer, or someone to lead an accessibility initiative — I'm happy to talk through what you're working on.

[email protected] (443) 534-0041 LinkedIn GitHub
Seattle, WA · Available Remotely