I'm Mason — an AI leader and researcher, building ML Systems specializing in Video and Multimodal Intelligence.
10+ years building teams and products in Critical Infrastructure Monitoring, and 5+ years building teams and products in Online Safety and Security,
I build ML-driven teams and systems that go from whiteboard to production, from idea to reality.
I build and lead teams that deliver production AI systems—focused on LLMs, agent-based architectures, and real-time, mission-critical ML platforms.
Most recently, as Director of Research and Machine Learning, I built and led a 12-person cross-functional organization responsible for designing and deploying enterprise-scale AI systems. I owned the full lifecycle—from defining ML strategy and system architecture to delivering production systems with measurable impact, including +35% model accuracy improvements, 45% infrastructure cost reduction, and reduced inference latency in live environments.
My current work centers on LLM-powered systems and autonomous agents:
I bring a hybrid background across machine learning, distributed systems, and cloud architecture, with deep experience building low-latency, high-reliability systems on AWS.
Alongside technical leadership, I’ve spent 12+ years building and mentoring teams across industry, academia, and hybrid environments. I’ve worked closely with researchers and engineers across disciplines—mathematics, physics, statistics, and computing science—and take pride in developing talent that has gone on to top-tier PhDs, leading tech companies, and venture-backed startups.
I also have extensive experience partnering with business stakeholders to translate ambiguous requirements into clear technical strategy and execution plans, ensuring that AI systems deliver real operational value—not just prototypes.
Outside of direct work, I’ve been actively involved in growing the local tech and research ecosystem in the Okanagan, supporting collaboration between industry and academia and helping develop the next generation of technical talent.
I value empathetic leadership, high ownership, and continuous learning—and I’m most motivated by complex, high-ambiguity problems where strong systems thinking and practical execution matter.
Recent production work across video intelligence, agentic systems, and generative AI.
Automated ad safety, metadata labeling, theme detection, and captioning (with translation) for a family streaming platform.
Deployed agents to monitor infrastructure health and predict production risk. Also rolled out org-wide AI assistants for self-serve KPI access.
Human-in-the-loop labeling workflows with active feedback loops. Content scoring based on viewer sentiment for recommendations.
From RL and optimization research (postdoc, PhD) to shipping real systems. I understand both sides of the research–engineering divide.
Hands-on with OpenAI, Anthropic, open-weight LLMs, speech/video synthesis, and multimodal media models in production environments.
Deep experience with SageMaker, Bedrock, AgentCore, Step Functions, Lambda, and CloudWatch AI Investigations.
A selection of projects across AI, video, and cloud infrastructure.
Observations on AI, cloud, and visual media — applications of AI to day-to-day life.
Whether it's an interesting problem, a new team, or just a good conversation about AI — I'm always happy to connect.