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PORTFOLIO
Lead Generation for recruitment company
It hit the manager during the third weekly report the charts weren’t just cleaner; the insights were actionable. For years, they’d relied on hunches and Excel scraps.
Client
WeCollabify
Challenges
High volume, low signal hiring data, the client was scraping hundreds of job posts daily but lacked a reliable way to separate truly fillable AEC roles from noise like IT, sales, or non AEC positions.
Inconsistent qualification decisions, manual or ad hoc screening led to subjective judgments, false positives, and wasted recruiter time on roles that could not legally or practically be filled.
Hidden blockers inside job descriptions, U.S. work authorization, licensure, or internship requirements were often buried deep in the JD and missed early.
No scalable decision system, the client needed a repeatable, auditable method to qualify roles at scale without increasing headcount or review time.
Why this was the best solutionIt replaces manual and subjective JD screening with a rule driven AI system that mirrors real AEC hiring constraints, catches hidden blockers early, and scales without adding recruiters. The system was tested across hundreds of live job posts, reducing false positives and wasted outreach.
Steps I tookDefined strict AEC qualification rules, encoded hard blockers and seniority logic, built a hybrid filter using keywords plus LLM reasoning, integrated multi source job scrapers, and stored structured decisions with confidence scoring in a central database.
OutcomeOnly fillable roles reached the pipeline, screening time dropped dramatically, recruiter effort focused on high probability opportunities, and the client gained a repeatable, auditable hiring intelligence engine suitable for daily automation.
Steps I tookDefined strict AEC qualification rules, encoded hard blockers and seniority logic, built a hybrid filter using keywords plus LLM reasoning, integrated multi source job scrapers, and stored structured decisions with confidence scoring in a central database.
OutcomeOnly fillable roles reached the pipeline, screening time dropped dramatically, recruiter effort focused on high probability opportunities, and the client gained a repeatable, auditable hiring intelligence engine suitable for daily automation.
Tech Stack used: n8n, OpenAI LLMs, Apify (Indeed and LinkedIn scrapers), Google Sheets, JavaScript (rule engine and scoring logic)
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