[2025]
SkillsEngine
Text-to-skills AI data transformation
Translating job posts, curriculum, and resumés into structured skills data.
Problem
Skills data can be highly valuable for enhancing curriculum development and optimizing talent pipeline effectiveness. But it traditionally requires significant financial and time investment, and access to niche advanced expertise.
Summary
Created an AI-driven agentic workflow that converts unstructured text into structured skills data profiles anchored by to the SkillsEngine common skills oanguage.
Led end-to-end feature development including early stage prototyping, design, and MVP architecture of our text-to-skills translation workflow. Oversaw design, development, and ongoing iteration and improvement.
Outcomes
- Created first of it’s kind agentic AI workforce data transformation feature. Replaced days of expert consulting work and thousands of dollars in associated costs with a <5 minute AI-driven process leveraging SkillsEngine’s proprietary data.
- Developed early system flows, proofs of concept, and Python prototypes of agenctic workflows and prompts.
- Oversaw design and engineering execution of the new feature in collaboration with the Senior Director of Engineering.
