Machine Learning Software Engineer - Mereb Technologies
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ClassificationImplemented talent-matching ranking for professional profiles to improve recruiter shortlist acceptance using profile embeddings, scored filtering, relevance feedback, and explainable ranking rules. Designed spam and risk classification for profile and message events by applying clustering, supervised baselines, validation checks, and moderation dashboards. Optimized search and matching APIs by improving caching strategies, query tuning, data structures, and maintaining strong regression coverage. • Improved recruiter shortlist acceptance by 35% using embeddings and explainable ranking • Reduced low-quality listings by 43% using clustering and supervised baselines • Increased search and matching API performance by 39% using caching and query tuning • Maintained 80%+ regression coverage to ensure stable model and system changes