Current
Sanofi · Machine Learning Engineering Lead
Leading AI infrastructure and ML platform engineering that supports global R&D teams and production model delivery.
ML Engineering Lead · Toronto
I build machine learning platforms and the teams that run them.
Currently leading ML platform engineering at Sanofi. My work focuses on infrastructure, MLOps, and the engineering systems that make applied ML reliable at scale.
Selected results
- Sanofi AI / HPC platform
- $12M+
- Platform throughput improvement
- +23%
- Model productionization time
- -26%
- Petco personalization impact
- ~$13M/mo
Highlights
Selected work
A few examples of platform and ML engineering work across pharma and retail.
AI infrastructure and ML platform scale-out
Global R&D platform architecture, IaC standardization, and faster model productionization.
$12M+ platform · 23% throughput gain · 26% faster productionization
Pricing and personalization ML delivery
MLOps modernization and delivery systems for pricing and recommendation workflows.
24h → 4h runtime · 32% compute reduction · ~$13M/mo impact
Enterprise pricing, promotions, and segmentation systems
Production ML and data systems used across pricing, promotions, and targeted marketing at enterprise scale.
73% lower batch latency · $42M+ annual increment · $15–20M lift
Focus
How I contribute
01
Platform architecture
Cloud infrastructure, orchestration, compute, and reproducible environments for ML teams.
02
MLOps delivery systems
Pipelines, standards, and operational workflows that reduce cycle time and improve reliability.
03
Engineering leadership
Teams, technical direction, and execution discipline for high-stakes ML platform work.