Software engineer on the internal services team, shipping features across the stack, with a focus on backend.

• Led end-to-end feature development and maintenance of the billing system responsible for flagging member accounts for utility bill payments.

• Automated several processes using web-hooks and scheduled job that brought manual review times down from 10+ minutes per instance to 1-2 minutes.

• Built full-stack features for solar credit application to utility bills, ensuring seamless data retrieval and boosting user trust with mistake-free, on-time payments. Reduced customer support requests significantly.

• Successfully performed migrations for a comprehensive data model revamp and to accommodate a expanding customer channels, transited a monolith to React/Typescript frontend, Ruby on Rails backend, GraphQL API achieving total data accuracy using Datadog, GitHub Actions, and AWS

• Ensured test driven development practices, efficient GraphQL queries, updated engineering and stakeholder documentation

• Conceived, developed 5 applications (drawing app, weather display, etc.) for a wooden display with a touch interface using Raspberry Pi and Python. Completed 25% of features for the 2020 TechCrunch Disrupt demo.

• Wrote foundational software architecture for startup with 4 engineers, focusing on best practices such as OOD and test-driven development. Set up Git CI/CD, code review cycles and consistent documentation practices.-

Developed a Python software that creates a database and searches spectral data for peaks to replace the manual, inconsistent previous method. The pipeline downloads and processes thousands of spectra, fits Gaussians, extrapolates various numerical values for analysis, etc. Findings are accurate within a statistically significant range and may provide insight into galaxy formation. Utilized pandas, numpy, astropy, scipy, etc.

Research group: https://sites.astro.caltech.edu/~afaisst/group.htm