Patrick McKee
@patrickmckee
Senior Data & AI engineer specializing in applied ML and industrial analytics.
What I'm looking for
I am a senior data and AI engineer focused on applied machine learning and industrial analytics, delivering production-ready ETL pipelines, automated decision systems, and ML deployments for operational environments. My work emphasizes pragmatic, contract-ready solutions that improve equipment availability and reduce downtime.
I have designed and deployed Python-based ML pipelines that tune control systems, implemented drift detection and anomaly classification, and built automated ETL workflows ingesting PLC, MES, and high-frequency sensor data for real-time inference and model training. My projects reduced control overshoot and settling time by ~30% and lowered unplanned downtime by ~18% while cutting diagnostic time by ~35%.
I bring hands-on MLOps and cloud experience—MLflow, Airflow, AWS (S3, EC2, Lambda, SageMaker), Azure Databricks, Docker, and CI/CD practices—combined with domain expertise in PLC/SCADA integration, predictive maintenance, and minimal-touch analytics systems. I seek to deliver measurable operational gains through robust, production-focused data and ML engineering.
Experience
Work history, roles, and key accomplishments
Senior Data & Automation Engineer
Texas Instruments
Jan 2014 - Jan 2025 (11 years)
Built Python-based ETL pipelines and deployed applied ML models to optimize process control, reduce variability, and integrate analytics into production control systems to automate decisions and improve equipment availability.
Senior Engineer, Applied Analytics
Safariland
Jan 2013 - Jan 2014 (1 year)
Developed data-driven analytics and automated workflows for R&D and pilot manufacturing, building structured data collection pipelines and applying statistical models to improve product reliability and reduce failures.
Senior Engineer, Data & Analytics
Chemring Ordnance
Jan 2010 - Jan 2013 (3 years)
Architected data schemas and ETL pipelines for manufacturing analytics and traceability, automated workflows integrating ERP/MES systems, and implemented SPC frameworks that improved process reliability and reduced analysis time.
IIoT Architect & Data Scientist
Advanced Surface Technologies
Jan 2025 - Present (1 year)
Designed secure data pipelines integrating industrial automation systems with cloud analytics for real-time performance monitoring and built ETL workflows to ingest high-frequency operational data for modeling and reporting.
Education
Degrees, certifications, and relevant coursework
University of Arizona
Bachelor of Science, Chemical Engineering
Completed a Bachelor of Science in Chemical Engineering with coursework supporting applied analytics and process engineering.
SUNY Ulster County Community College
Associate of Science, Chemistry / Computer Science
Completed an Associate of Science focusing on Chemistry and Computer Science foundational coursework.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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