Senior Machine Learning Engineer with 5+ years of experience building and hardening production LLM systems. I design evaluation frameworks for hallucination detection, drift monitoring, and cost–quality tradeoffs, and have led optimization of multi-stage ML/LLM pipelines achieving 90%+ accuracy with significant latency and cost reductions. As founder of AI RoundTable Inc., I also run an AI consulting practice and a YouTube channel covering the latest in applied AI.
Hallucination detection, drift monitoring, A/B testing, and cost–quality tradeoff analysis for production LLM systems.
Building production RAG architectures, agent orchestration, graph-based assistants, and semantic retrieval systems.
Fine-tuning large language and multimodal models, prompt optimization, and deploying cost-efficient LLM pipelines at scale.
End-to-end optimization of multi-stage ML/LLM pipelines — improving accuracy, reducing latency, and cutting infrastructure costs.
Deep learning models for image understanding, ad classification, site monitoring, and natural language processing.
Building AI capabilities from the ground up — roadmapping, architecture design, and delivering ML systems across operations and logistics.
AI RoundTable Inc., Edmonton, Alberta, Canada
AI consulting practice and media company delivering applied AI solutions and content.
A Parent Media Co. (APMC), Edmonton, AB
Optimizing multi-stage ML/LLM pipelines for ad intelligence. Built hallucination detection classifiers, evaluation frameworks, and cut LLM costs by 40%.
Tomlinson Group, Ottawa, ON
Built the company's AI capability from scratch. Delivered a RAG-based assistant adopted by 60+ users and multiple ML systems across operations.
Capgemini Engineering
Deployed deep learning models for power transmission systems in real-time production environments. Built scalable data pipelines over 110+ GB of SCADA data.
RAG architectures, agent orchestration, evaluation pipelines, and fine-tuning workflows.
Vector search, graph DBs, SQL agents, long-context optimization, and cost benchmarking.
Long-term memory architecture for agentic AI systems.
Multimodal LLM fine-tuning pipeline for vision-language tasks.
AI seminars, tutorials, and insights into the latest applied ML technologies.
5 peer-reviewed papers (IEEE Systems Journal, SEST, etc.), 100+ citations.
Interested in collaborating on AI projects or discussing applied ML? I'm always open to connecting with teams and individuals working on hard problems.
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