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Fabio Pecora
Junior AI Engineer specializing in LLM systems and RAG pipelines
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About
Early-career AI/software engineer who built and shipped NextStep.AI end-to-end (adopted by 150+ CUNY students) to automate interview/company research and resume-to-job matching, with a strong emphasis on grounding, guardrails, and measurable monitoring. Also architected multi-step LLM/OCR pipelines for healthcare document content generation and handled messy ERP/AP-style data using normalization, confidence thresholds, checkpointing, and human-in-the-loop fallbacks.
Experience
Education
Key Strengths
- Shipped end-to-end LLM agent (NextStep.AI) used by 150+ CUNY students
- Strong focus on reducing hallucinations via grounding/RAG and guardrails
- Designed multi-stage pipelines with stage-level metrics (latency, extraction success, fallback frequency, output quality)
- Improved performance and cost by switching to OCR-first extraction with LLM fallback
- Built deterministic workflows using schema-constrained outputs, validation checks, and human-in-the-loop review
- Implemented checkpointing/resume-from-last-state to handle intermittent failures
- Conservative automation for messy operational/AP-like data with normalization, confidence thresholds, and human review to prevent bad actions
- Database design for scalability/reliability (BCNF normalization)
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