Enterprise AI Recruiting Agent (Autonomous Talent Pipeline)

Talent sourcing and application workflows are traditionally high-friction and manual. Typical automated tools hallucinate qualifications or produce generic applications. The goal was to build a rigorous agentic pipeline that analyzes requirements, matches verifiable evidence, and creates tailored artifacts under human review.

• Managed strategic delivery of an autonomous AI agent pipeline supporting sourcing and application workflows.
• Engineered multi-step agent workflows parsing listings, evaluating fit across 10 dimensions, and cross-referencing background evidence.
• Built automated ATS-optimized PDF generation adapting resume content per role using Playwright and structured typography.
• Integrated automated portal scanning across 45+ companies and batch evaluation with parallel worker execution.

• Streamlines application preparation and sourcing workflow time while preserving strict factual integrity.
• Demonstrates advanced agent orchestration, CLI tooling, and governed automation.

• CLI-driven pipeline with Go-based terminal UI for tracking and filtering application statuses.
• Automated merge, deduplication, status normalization, and health verification scripts.
• Human-in-the-loop review model: system evaluates and recommends, human approves and acts.

• Over-automation prevented by design: system never submits applications autonomously.
• Data consistency enforced via centralized profile schemas and sync validation checks.