Customize and train PyTorch machine learning models for medical imaging research datasets

Develop research software as needed: largest contour identifier, confusion matrix displays, and image pre-processing scripts

Served as frontline during on-call rotations to debug, fix, and triage client issues (full-stack), ensuring rapid and precise resolution.

Developed banking integrations (both direct and OAuth partner) with major financial institutions such as but not limited to: American Express, Wells Fargo, and Brex.

Designed and implemented E2E tests for core products: double ledger entry api, banking integrations, and financial data SaaS web app.

Optimized Test Efficiency by 40% significantly reducing developer time spent on testing and accelerating product delivery cycles.

Top-tier prospects included Mastercard, Circle, and DC comics.

Responsible for all aspects of the software development lifecycle including software architecture, translating stakeholder requirements, deployments, bug monitoring, etc

Built scalable solutions with FastAPI, GraphQL, React-Admin, and achieved >90% test coverage

Led continuing education sessions for other engineers to level up team members

Presented at DET/CHE (Directors of Educational Technology) representing the Online Campus department

Developed and deployed an AI chatbot tutor with a user base of >200 users