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Leon Carter

@leoncarter

Senior AI / Machine Learning Engineer specializing in production ML systems, MLOps, and scalable Python backends.

United States
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What I'm looking for

I seek roles building production ML systems with strong MLOps, cross-functional collaboration, and opportunities to mentor engineers and shape architecture.

I am a Senior AI / Machine Learning Engineer with over 10 years building large-scale, cloud-native systems that power ML-enabled products. I specialize in Python backend engineering, distributed systems, and AWS infrastructure, delivering reliable inference services and event-driven architectures.

I have led design and implementation of ML inference services, feature pipelines, and decisioning platforms across security, insurance, finance, and logistics, and I champion MLOps practices including CI/CD, model versioning, monitoring, and rollback strategies.

I mentor engineers, drive architectural clarity, and partner with product, security, and platform teams to translate business problems into deployable, auditable ML solutions that balance model quality, scalability, and long-term maintainability.

Experience

Work history, roles, and key accomplishments

VS

Senior AI / ML Engineer

Very Good Security

Apr 2021 - Jan 2026 (4 years 9 months)

Owned backend architecture for large-scale security platforms using ML for real-time risk decisions; built high-throughput Python FastAPI services on Kubernetes and designed event-driven pipelines with Kafka, Redis, and Celery to ensure scalable, auditable decisioning.

VI

Senior Software Engineer

Vouch Insurance

Jul 2018 - Mar 2021 (2 years 8 months)

Built ML-enabled underwriting and risk platforms embedding predictive models into decision flows; developed Python/Django and FastAPI services, data pipelines for experimentation and inference, and improved reliability via testing and CI/CD.

Education

Degrees, certifications, and relevant coursework

DU

Duy Tan University

Bachelor of Science, Computer Science

Completed a Bachelor of Science in Computer Science with coursework supporting software engineering and foundational computing principles.

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