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John P UserJU
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John P User

@johnpuser

Senior MLOps and Data Engineering leader delivering reliable ML platforms and scalable production pipelines.

United States
Message

What I'm looking for

I’m seeking senior roles building production ML platforms and scalable data infrastructure where I can drive automation, reliability, observability, and measurable business impact.

I am a Senior Data Engineer and MLOps specialist with hands-on experience designing end-to-end machine learning platforms, production model deployment, and scalable data infrastructure. I focus on reducing time-to-production and operational risk through automation, CI/CD, and robust monitoring.

My background includes building feature stores and real-time inference services that support millions of daily transactions and half a million IoT device predictions, achieving high availability and measurable cost savings. I have led implementation of infrastructure-as-code, containerized deployments, and event-driven retraining systems that improve model lifecycle management and reduce manual intervention.

I prioritize reliability, observability, and continuous improvement; I deliver production-ready ML systems that detect drift early, prevent operational losses, and enable repeatable, auditable model workflows across cloud environments.

Experience

Work history, roles, and key accomplishments

EL
Current

Senior Data Engineer

7-Eleven

Sep 2024 - Present (1 year 3 months)

Designed and implemented end-to-end ML pipelines and feature store infrastructure supporting 4M+ daily transactions, reducing time-to-production by 65% and achieving 99.3% deployment success rate while preventing $2.1M in operational losses.

PP

MLOps Engineer

Proton Plus

May 2020 - Jul 2023 (3 years 2 months)

Architected an enterprise MLOps platform and real-time inference services, operationalizing 20+ ML models for 500,000+ IoT device predictions and reducing manual intervention by 80% while maintaining sub-100ms latency and 99.5% availability.

KI

Data Engineer

Kalva Industries

Jun 2019 - Apr 2020 (10 months)

Built automated ML pipeline infrastructure and testing frameworks for energy forecasting, improving deployment efficiency by 70%, ensuring regulatory compliance, and delivering $750K in operational cost savings through predictive optimization.

Education

Degrees, certifications, and relevant coursework

University of North Texas logoUT

University of North Texas

Master of Science in Business Analytics, Data Science

Master of Science in Business Analytics with a major in Data Science focused on applied analytics and data-driven decision making.

Tech stack

Software and tools used professionally

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John P User - Senior Data Engineer - 7-Eleven | Himalayas