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Production Systems
Manual resume screening and document triage created severe operational bottlenecks in talent acquisition, resulting in slow candidate turnaround times and inconsistent scoring against technical job descriptions.
Engineered an automated n8n workflow pipeline utilizing the Gemini Flash AI model to score resumes against job description criteria, automated Outlook mailbox integration for instant incoming mail processing, and LlamaParse AI for precision CV attachment parsing.
Automated end-to-end resume ingestion and semantic evaluation, reduced candidate triage time by over 80%, and established foundational RAG vector database architectures for conversational enterprise assistants.
Decision Rationale: n8n provides robust self-hosted workflow orchestration, flexible webhook and Outlook triggers, and native LLM integration nodes while keeping candidate data privacy secure.
Decision Rationale: Traditional text extractors scramble multi-column layouts and tables common in modern resumes. LlamaParse preserves structural semantics, enabling accurate downstream evaluation.
Delivered 100% storefront uptime with zero-outage database failover, seamless two-way content authoring across Sanity Studio and store admin, and complete zero-overhead custom domain email forwarding directly into Gmail.
Delivered FDA-approved medical diagnostic viewing across desktop and web, ensured compliant hospital PACS transmission, and bridged legacy clinical standards to modern cloud FHIR infrastructure.