Where I add value
Teams scaling ML delivery who need stronger platform foundations, faster productionization, or clearer technical direction.
About
I work on the engineering layer that makes ML usable.
I lead machine learning engineering with a focus on platform architecture, MLOps, and production delivery. The throughline in my work is simple: make good models easier to build, ship, and operate.
My background spans research analysis, data engineering, MLOps, and ML platform leadership. That range helps me connect infrastructure decisions to delivery speed, team workflows, and business impact.
Approach
How I work
- Design for reliability and repeatability from day one.
- Prefer reusable platform leverage over one-off heroics.
- Make tradeoffs explicit: cost, speed, complexity, ownership.
- Build teams and standards that improve over time.
Leadership style
High standards, low drama, clear ownership. I care about technical quality and execution discipline more than presentation.
Career
Path
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Sanofi
Machine Learning Engineering Lead · AI infrastructure and ML platform engineering for global R&D.
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Petco
Technology Lead · ML engineering leadership across pricing and personalization systems.
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Loblaw Companies Limited
Data Engineering and MLOps roles across pricing, promotions, segmentation, and orchestration systems.
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Numeris
Research Analyst · automation and quality monitoring for national audience data pipelines.
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University of Toronto
Research Analyst · ETL and warehousing for research and funding analytics.
Core stack