Tech stack: Typescript, React, Ruby on Rails, NodeJS, GraphQL, Postgres
Reduced mandatory manual interventions per assessment by 66%, effectively doubling the operations team's capacity.
Project managed and built new internal client ATS integration dashboard, empowering operations to directly debug and resolve errors themselves. Reduced error rate from 40% to 3% while scaling number of client integrations by 800%.
Prototyped new LLM based assessments.
Incorporated ML model for selecting assessments to quality control, resulting in over $1m per year in QC savings.
Spearheaded the development of key features for a new assessment, including candidate onboarding, client result pages, and internal management views, ensuring project completion within a tight deadline.
Rebuilt onboarding experience for Brilliant Black Minds, reducing candidate sign up drop offs by over 50%.
