I led an AWS Toronto session about practical AI agent workflows.
I led the demonstration, panel, and practical exercises. The session helped software developers move from experiments to reliable delivery.
Toronto · AI Product Engineering
I help engineering teams use AI coding tools in production.
AI tools alone do not improve delivery. I build the context, evaluations, workflows, and review steps that teams need.
01
Results from real work
I use the same AI engineering method in client work, demonstrations, research, and workshops. Each session gives people a clear next step.
I shared six months of research about using Codex in production.
I showed the workflows I use for requirements, implementation, and review.
I joined an expert group for a hands-on AI lab.
The lab helps founders and agency owners turn a real business problem into a useful AI solution.
I explained context engineering for multi-agent work.
Participants asked for the process behind the system. They wanted more than a tour of tools.
I helped PhD researchers use AI agents in their work.
I taught clear problem definition, review methods, and workflows that support research.
02
What I do
A
B
C
Write about AI product engineering
I turn lessons from my work with agents into practical notes. Topics include AI delivery, context, evaluations, and workflow design.
Speak and lead practical sessions
I help teams, researchers, and communities understand AI engineering. I explain what to measure and where people must make decisions.
Build AI delivery systems with engineering teams
I work with a small number of teams each year. These teams already have AI tools and code repositories. Together, we build a working system.
03
Currently
I am building Squad, the AI engineering product from Remedys. Squad helps people and AI agents deliver software together. It records evidence that supports each result.
I also support clients through Remedys.ai. I lead AI workshops in Toronto and speak at BuildFuture, AWS, and community events. I write about methods that help teams use AI agents.
04
Useful when
01
Your AI tools do not improve delivery speed
I review the context, workflow design, evaluations, and review methods.
02
Your team needs evidence before release
We define the expected result and the required evidence. The records let other people verify the result.
03
You need an experienced engineer
I read the code, write the configuration, and design the workflow. I measure how the system changes the work.
Do you need faster results from your AI program?
Send me a short note about your workflow, team, previous work, and required result. I will tell you if I can help.