• Assembled Typescript Next.js components to launch a “Discovery” section of the SaaS app so that customers could search and contextualize data much more clearly. Improved visibility of data compared to charts by over 200%.

• Spearheaded ingest server in Pydantic Python to parse and convert data from crawled social platforms. Allowing for expansion of AI context to a multi-platform system, with more social platforms on the way.

• Contributed cross-functional assistance with support by debugging production data issues and collaborating with teammates on Jira to maintain data accuracy and platform stability.

• Improved user satisfaction by resolving bug and support tickets, which increased app reliability and reduced error rate. Some bug fixes reduced support requests by as much as 50%.

• Enhanced performance and reduced error rate by migrating from monolithic MySQL service structure to Nest services utilizing TypeORM and PostgreSQL.

• Optimized user experience by converting CRUD-based UI components into task-based ones. This reduced repetitive clicks in some cases by more than 80% and increased user understanding of what they are accomplishing.

• Oversaw workflow for electrical/dimensional lab while prioritizing work based on importance and

due date.

• Utilized Excel and Fluke MET/CAL software to ensure compliance with specifications and tolerances.

• Performed in several different departments and increased productivity by writing and supporting Excel documents that reduced time spent doing calculations.

• Ensured all tools conformed to specifications.