Keith A. Guernsey

About Keith A. Guernsey

I’m an AI / LLM Integration Engineer focused on turning unstructured technical content into reliable, schema-validated data that teams can actually use in production systems.My work sits at the intersection of GenAI, deterministic rules, and enterprise integration. I design and ship LLM-driven extraction pipelines, pair them with rule-based enrichment for accuracy and auditability, and wire everything into downstream decision workflows via well-defined schemas and APIs.I’ve spent my career in environments where correctness, traceability, and reliability matter — which shows up in how I approach AI systems: hybrid by design, evaluation-driven, and production-first. I’m comfortable owning solutions end-to-end, from schema design and prompt iteration through integration, validation, and troubleshooting in live environments.Current focus areas: • LLM-driven structured data extraction • Hybrid AI + rules systems • JSON/YAML schema design & validation (Pydantic) • API integrations & production troubleshooting • Python automation and toolingI’m especially interested in roles where AI systems need to be useful, reliable, and explainable, not just impressive in a demo.

Experience

1. Solutions and Implementation Engineer

   Cytora

   Feb 2024 — Present

   Built end-to-end LLM pipelines (Gemini Pro) for structured extraction, classification, and transformation of unstructured technical/operational documents.Designed JSON/YAML schemas, API workflows, and data-validation layers supporting scalable ingestion across multiple business domains.Implemented hybrid reasoning systems using LLM outputs + deterministic rules (JSONata) to increase accuracy and reliability in regulated decision workflows.Developed Python- and Node-based automation tools to accelerate QA, bulk data operations, and model evaluation.Troubleshot and optimized production pipelines, including LLM behavior, schema conflicts, validation errors, and metadata inconsistencies.Collaborated cross-functionally to define best practices for AI-assisted ingestion, structured data modeling, and operational deployment.

Education

• Middlesex Community College

  Associate's Degree, Business Administration and Management, General

  2009 — 2014

• Middlesex Community College

  Associate's degree, Business Administration and Management, General

Skills

• Hplc
• Sterilization
• Regulatory Affairs
• Lifesciences
• Pharmaceutical Industry
• Sop
• Quality Control
• Fda
• Shipping Validation
• Gmp
• Biopharmaceuticals
• Css
• Glp
• Javascr
• Analytical Chemistry
• Biotechnology
• Chemical Engineering
• Validation
• Quality Assurance
• Aseptic Technique
• Six Sigma
• Quality Auditing
• Aseptic Processing
• Formulation
• Cgmp Manufacturing
• Trackwise
• Life Sciences
• Calibration
• Standard Operating Procedure (Sop)
• Regulatory Submissions
• Medical Devices
• Capa
• R&D
• Design of Experiments
• Manufacturing
• Drug Delivery
• Drug Discovery
• Change Control
• Technology Transfer
• Quality System