Toni Anev
Toronto, ON, Canada
Email: tonianev@gmail.com
Website: https://tonianev.com
GitHub: https://github.com/tonianev
LinkedIn: https://www.linkedin.com/in/tonianev/

Headline
Machine Learning Engineering Lead focused on ML platform architecture, MLOps delivery systems, and production AI infrastructure.

Impact Summary
- Own and scale production AI infrastructure supporting global R&D workloads on a $12M+ platform footprint.
- Improved ML platform throughput by 23% through Terraform standardization and automated provisioning workflows.
- Reduced model productionization cycle time by 26% across 7+ teams via release workflow and platform improvements.
- Led programs tied to measurable commercial outcomes, including approximately $13M/month incremental revenue impact.

Core Strengths
- ML platform architecture and operating model design
- MLOps standards, release gates, and CI/CD integration
- Cloud infrastructure (AWS and GCP) for production ML
- Engineering leadership: team building, technical direction, and delivery execution

Experience
Sanofi | Machine Learning Engineering Lead
Toronto, ON | Jun 2023 - Present
- Directed architecture and scale-out of a global AI/HPC platform (NVIDIA A100/H100, EKS, FSx, S3) supporting research across multiple therapeutic areas.
- Standardized infrastructure-as-code (IaC) with Terraform and automated compute provisioning, increasing platform throughput by 23%.
- Led cross-vendor integrations (BioMap and XtalPi) to deploy next-generation protein prediction capabilities with clear SLAs and support models.
- Operationalized internal solubility and binding-affinity models with SageMaker and Bedrock, reducing time-to-production by 26% across 7+ teams.
- Built and led an ML engineering organization (5 engineers, 2 PMs, 15+ contractors), raising execution quality through design reviews, mentoring, and training.

Petco | Technology Lead
Toronto, ON | Jan 2023 - Jun 2023
- Built and led a 5-person ML engineering team and introduced modern MLOps delivery standards on GCP.
- Redesigned the price-elasticity platform using Snowflake, Vertex AI, Airflow, and Seldon, reducing runtime from 24h to 4h and compute load by 32%.
- Directed a $3M personalization program delivering a recommendation engine with 3% basket-size uplift and approximately $13M/month incremental revenue.

Loblaw Companies Limited | Senior MLOps Engineer
Toronto, ON | Mar 2020 - Jan 2023
- Led rollout of a promotion optimization engine across 16 divisions and 200+ product categories using GCP Dataproc, Terraform, and Airflow (Cloud Composer).
- Built a microservices orchestration framework reducing batch latency by 73% and lowering compute costs by $2.7K/month.

Loblaw Companies Limited | Senior Data Engineer
Toronto, ON | Aug 2019 - Mar 2020
- Built a precision segmentation platform processing 1B+ transactions annually for 21M loyalty members, supporting $42M annual incremental revenue.
- Created an internal campaign design tool that improved segmentation and execution efficiency by 68%.

Loblaw Companies Limited | Data Engineer
Toronto, ON | Jan 2019 - Aug 2019
- Designed and productionized an in-house ML decisioning engine for pricing and markdown timing, contributing to $15M-$20M annual revenue lift.
- Built pricing analytics and dashboards used for executive decision support.

Numeris | Research Analyst
Toronto, ON | Sep 2016 - Jan 2019
- Automated ingestion and quality monitoring of national audience data (~27M individuals) using Python and PL/SQL, improving throughput by 90%+.

University of Toronto | Research Analyst
Toronto, ON | Jan 2014 - Nov 2015
- Built ETL and data warehousing pipelines for research and funding analytics supporting 1,600+ principal investigators and 5,000 faculty.

Selected Public Projects
- ML Platform Reference: https://github.com/tonianev/ml-platform-reference
- ML Release Gates: https://github.com/tonianev/ml-release-gates
- Feature Pipeline Quality: https://github.com/tonianev/feature-pipeline-quality

Technical Skills
- Languages: Python, SQL, Go, Bash
- Cloud and Platform: AWS, GCP, EKS, GKE, SageMaker, Bedrock, Vertex AI, Dataproc, Airflow/Cloud Composer, Terraform, Snowflake
- Engineering Systems: CI/CD, orchestration services, production observability, release governance, infrastructure automation

Education
- Bachelor of Science, McMaster University (2012 - 2016)
- Data Analyst Nanodegree, Udacity (2018)