•Co-founder of the engineering team of a seed stage startup responsible for strategizing, architecting, and implementing the backend/database/and deployment layers of a cloud-based automated machine learning platform.
•Created a .NET Core 6 (C#) microservice architecture communicating with a PostgresSQL database (both hosted in AWS) for fast, efficient API performance.
•Utilized AWS S3, lambdas, state machines, event bridge, and cloud watch to quickly and effectively handle and log various processes within the app.
•Implemented, tested, and maintained ETL processes, written as C# lambdas, to communicate with third parties APIs on scheduled workflows.
•Collaborated with both external and internal design and frontend teams to plan and implement Version 1.0 of the application currently being used by pilot customers.
•Organized and maintained all aspects of the project management workflow by creating a custom Notion workspace to facilitate an agile process.
•Hired, mentored, and reviewed code written by junior developers in order to promote consistent, well-maintained coding standards.
•Configured Github Action templates to automate unit testing and CI/CD for all repositories.
•Spearheaded documentation efforts both internally and externally by creating templates for API Documentation, user guides, release notes, and frequently asked questions.
•Served as a core member of the leadership team by helping make decisions around product strategy, customer engagement, and hiring processes.
•Participated in the LEAD Startup Accelerator program collaborating with industry experts and advisors to further product development and business growth.
