Summary
I build AI systems that enterprises can actually trust. After 20+ years in oil & gas — from field operations to data architecture — I've learned that in enterprise AI, accuracy is necessary but not sufficient. The harder challenges are evidence, accountability, and the judgment layer between AI output and human decisions.
Recent Projects (2024–2026)
- Amphigraph — Evidence-first classification engine — 500K+ work orders with full provenance trails
- OpsWorth Doc — Engineering document intelligence — 39% → 93% accuracy on domain-specific ISA symbols
- ProductionAnalytics — SAGD production analytics, forecasting, and optimization
Experience
Self-Employed
AI Architect / Independent Consultant
January 2019 – Present · Calgary, AB
- Consulting for industrial clients: Suncor Energy, Pembina, Cenovus, Formosa Plastics, Imperial Oil, Cameron LNG, Chevron Phillips, ConocoPhillips, OPTA
- Architected Amphigraph: 156-feature classification engine processing 500K+ maintenance work orders with full evidence trails
- Built multi-agent pipelines for industrial document intelligence using fine-tuned computer vision + LLM extraction — 93%+ accuracy on domain-specific ISA symbol detection
- Designed maintenance intelligence systems for work order classification, failure pattern analysis, and predictive maintenance pipelines
- Multiple production AI systems shipped to live industrial environments
Chevron Canada
Senior Production Analytics Specialist
January 2017 – December 2018
- Architected transition from Excel workflows to enterprise BI (Power BI, Spotfire) — 80% reduction in analysis time
- Implemented ML models for production optimization, improving forecast accuracy by 35%
- Enabled precise production balancing delivering $500K+ monthly cost savings
- Enhanced SCADA and OSI PI data pipelines to 99.5% data reliability
- Awarded Employee of the Quarter for innovative analytics approaches
North West Redwater Partnership
Data Extraction & Quality Specialist
March 2015 – February 2016
- Extracted and cataloged instrument tag data from P&IDs with 99%+ accuracy
- Created systematic approaches reducing extraction time by 40%
Amec Foster Wheeler
Information Management & Document Control
October 2007 – March 2015 · staff, then independent contractor
- Directed migration of 100,000+ engineering documents to EDMS
- Implemented quality governance protocols achieving 99.8% compliance
- Designed SharePoint collaboration platforms serving 500+ users; reduced manual processing by 60%
Devon Energy
Information & Document Management Analyst
January 2012 – June 2012
- Built automated tools extracting equipment tags from engineering drawings
- Created structured repositories for 50,000+ technical documents
Shell Canada
Contractor — Web / Database Application Developer
January 2006 – September 2007
- Built enterprise web platforms serving 1,000+ users; automated transmittal system eliminating 20+ hours/week of manual work
- Only contractor to receive both "Contractor of the Month" and "Contractor of the Quarter"
Education & Certificates
- University of Illinois at Urbana-Champaign — Pattern Discovery in Data Mining (2015)
- Johns Hopkins University — Data Science Specialization Certificate (2015)
- Southern Alberta Institute of Technology — Records and Information Management (2008)
- St Joseph's College — Bachelor of Arts
Tech Stack
Python · PyTorch · LangChain/LangGraph · Anthropic & OpenAI APIs · HuggingFace · LoRA/QLoRA/PEFT · RF-DETR · SigLIP · YOLO · Neo4j · PostgreSQL · pgvector · Soufflé (Datalog) · FastAPI · vLLM · React · TypeScript · Next.js · Docker · GitHub Actions · GCP Vertex AI
Open to consulting engagements and senior AI roles.