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.
01 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.
- 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.
Sanofi · Petco · Loblaw · Numeris · University of Toronto
02 Work
Selected work
Platform and ML engineering across pharma and retail.
AI infrastructure and ML platform scale-out
$12M+
23% throughput gain · 26% faster productionization
Pricing and personalization ML delivery
~$13M/mo
24h → 4h runtime · 32% compute reduction
Enterprise pricing, promotions, and segmentation systems
$42M+
73% lower batch latency · $15–20M pricing lift
03 Proof
Public artifacts
Implementation checklists, RFC templates, and operational runbooks for ML platform teams. Sanitized but representative of production-grade delivery standards.
Machine-readable: profile.json · experience.json · skills.json
Current build
Agent Soul Kit
A public concept for giving any AI agent a soul file, a memory file, and a more useful operating posture without special backend powers.
Portable files, thin adapters, and a browser playground for tuning warmth, pragmatism, and initiative in public.
Open the kit04 Contact
Email is best.
I reply fastest to messages about ML platform engineering, MLOps, and engineering leadership. Resume available on request.
Conversations I prioritize
- ML engineering leadership roles
- ML platform and MLOps architecture work
- Production ML delivery and platform modernization
- Technical advisory conversations with clear scope