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CHunter
AI-powered talent discovery pipeline automating candidate evaluation and targeted outreach.
The Challenge
Identifying and evaluating technical talent efficiently requires analyzing vast amounts of unstructured professional data. The challenge involved filtering candidates based on complex, region-specific criteria while avoiding API rate limits and preventing backend execution hang-ups.
The Solution
Stabilized the discovery pipeline by integrating asyncio for concurrent processing, significantly reducing scraping latency. Replaced rigid keyword matching with dynamic LLM-based evaluation to eliminate false positives and generated highly contextual, personalized outreach campaigns with direct CTAs.
- Concurrent AI Processing (Asyncio)
- Dynamic Candidate Evaluation
- Automated Outreach & Tracking
Tech Stack
PythonVertex AIAsyncioGoogle Cloud