Full stack engineering in ReasonML. Building a better way for restaurant and hospitality staffing.* Improved performance of critical matching ML powered algorithm* Lead several migrations of core business processes from Zapier into the core platform, reducing costs by 30%And relieving the significant load of those processes on a resource-constrained database.* Collaborate with engineering and non-engineering groups to implement a multi-stage flow for businesses to request specific freelancers that grew to account for 51% of revenue.* Built a ML system in Python using PyTorch to identify and extract data from Food and Alcohol certifications from multiple states in an effort to save 30 or more labor hours per work.* Integrate Stripe reporting into an existing internal invoicing system, saving approximately $30k/month.* Use ReasonML, React, and SQL to engineer full-stack applications including 2 mobile apps, 2 web apps, a GraphQL API, a job queue and worker subsystem, and a matching algorithm in a dynamic, high-growth Company.* Implement a general-use, cross-platform filtering React component that enabled users to filter and dataset based on a completely customizable set of criteria.

Full Stack development implementing Authentication, Customer Registration and Forgot Password solutions. Develops and improves cloud native Spring Boot Java APIs and React Javascript applications in an agile environment.* Improved successful customer registration rates by 27% over 6 months.* Implemented React Component for credentials management that improved customer credential creation by 20%.*Identify and implement automated registration flow to save $3MM annually and create a better customer experience.* Build verification code customer authentication flow from backend to frontend in 4 months.

Developed web based tools for the university Financial Services Office using Python and Javascript.