Don M

Owned end-to-end delivery by defining technical roadmaps and deploying production services. Architected a monolith-to-microservices migration and rebuilt legacy auth, and built AWS/GCP ETL pipelines that cut processing time by 50%.

Built full-stack Rails/React features for a high-traffic regulated commerce platform while maintaining 90%+ test coverage with RSpec and Jest. Led API development and improved delivery timelines by ~20%, and ran a 2-week internal bootcamp for 12 engineers to raise code quality.

Integrated EasyPost and third-party partner APIs into a production Rails platform while aligning with stakeholders on data and business logic. Reduced technical debt by ~25% over 18 months and improved performance by cutting page load from 1.2s to 0.7s and reducing dashboard load ~60%.

Taught Rails, JavaScript, Python, and React to cohorts of 8–15 students. Achieved a 92% satisfaction rating and saw 85% of graduates secure technical roles within 3 months.

Led a team of 4 engineers and 2 data scientists, improving velocity by ~30% and reducing onboarding from 2 days to 4 hours through tooling and documentation. Built Elasticsearch-based search over 50,000+ daily data points and created Vis.js vulnerability dashboards to improve threat detection speed ~40%.

Completed Qualys Vulnerability Management certification or training in 2023.

Earned a B.S. in Sociology & Psychology from Towson University.

Earned an M.S. in Cybersecurity from the University of Maryland.

Completed Machine Learning & Recommendation Systems coursework via Udemy in 2022.

Completed Full-Stack Web training at General Assembly.