Software Development Engineer on the Amazon SageMaker Inference team, focused on providing advanced real-time and near-real-time machine learning model hosting and inference capabilities.

- Designed and validated 3 new hands-on machine learning courses- Optimized 50+ core competencies by automating MCQ generation with LLMs, saving 100s of hours for learning designers

- Led a full-stack overhaul of payment reversals system with a cross-functional team of 4 using Vue.js and microservices; this resulted in a 20% reduction in support requests and 2x faster workflow speed- Independently built an internal navigation app adopted for daily use by 7 teams and 90% of employees in the app organization- Mentored 3 junior developers, modernizing onboarding and cutting time-to-code by 30%

95-807 — Object Oriented Programming for Managers95-812 — Introduction to Programming with Python

- Engineered an intelligence suite adopted by the security team, consolidating dozens of sources of vulnerability data into one dash- Created standardized Jenkins pipelines across 3 application teams, reducing deployment time by 200+ hours annually

Full-stack engineering with Vincent (https://vincentpay.com/).Agile app development using technologies such as Docker, SpringBoot, JUnit, Jenkins, JavaScript, Gradle, and others. Attained 100% test coverage for all code as part of a team of 8 developers.

- Trained in information management, database security, and penetration testing with CERT- Competed in the top pen-testing team in our cohort of 20+ students- Prepared executive-level reports on IoT security, encryption standards, and risk assessment and impact analysis