The Context

This project is the canonical bucket for the user's NIST NICE Cyber Workforce research, recruiting, HR, job-search, ATS, Chrome extension, WebLLM, WASM, and communication-classification work. It includes role-taxonomy mapping, ATS adapters/interfaces, LinkedIn person/company/job harvesting, staffing-agency sales workflows, candidate cross-channel messaging, MLflow-trained classifiers, Chrome extension injection/automation, embedded browser-local models, and WebLLM-based local intelligence.

The Challenge

The challenge was to build a workforce-intelligence operating platform rather than a scraper. Each ATS has different job, candidate, company, and application shapes. Workforce taxonomy data requires careful extraction and normalization. Communication workflows involve both client-side sales and candidate-side messaging. The system needed to classify messages, enrich records, support automation, and provide useful AI assistance without assuming a single clean source of truth.

What I Did

• •Designed and deployed a workforce-intelligence platform centered on NIST NICE role taxonomy, structured talent intelligence, and ATS interoperability
• •Integrated Google Cloud Talent Solutions as part of the talent/job matching, role-mapping, and search architecture
• •Built interfaces or adapters for ATS systems including Greenhouse, Ashby, Workable, Lever, Workday, and Comeet
• •Created Chrome extension workflows for harvesting, extracting, injecting, and automating recruiting data across browser surfaces
• •Built LinkedIn extraction workflows for person profiles, company profiles, and job posts
• •Used WASM modules inside the Chrome extension to support local scoring, extraction, or structured processing
• •Embedded WebLLM and smaller browser-local machine-learning models to support private, local, context-aware assistance
• •Trained or used MLflow-managed classifiers for business communication categories across staffing sales and candidate communication workflows
• •Designed cross-channel candidate messaging support so communication context could be classified and used in workflows
• •Connected staffing-agency sales operations with recruiting operations rather than treating them as separate products
• •Normalized job, candidate, company, profile, message, and ATS records so downstream AI tools could reason over consistent structures

The Outcome

Created a full NIST NICE cyber-workforce research and platform architecture for Sapient Search Group rather than a thin automation script.