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Wayne Workman

@wayneworkman

AI/ML engineer and enterprise cloud architect delivering scalable, compliant AI platforms.

United States
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What I'm looking for

I seek roles building secure, cost-optimized AI/ML platforms—leading architecture, MLOps, and compliance-focused implementations with measurable business impact.

I am an AI/ML engineer and enterprise cloud architect with 13 years building distributed systems and leading LLM infrastructure trials at a Fortune 500 reinsurance company. I design and ship production AI services on serverless architectures and lead AI platform strategy.

I have trained language models from scratch using PyTorch (183M parameters) and authored 35K lines of custom Python to turn 40MB of training data into a 6GB training corpus. I built synthetic data pipelines generating 1.25M+ training records and deployed distributed GPU workloads across spot instance fleets.

My work emphasizes AI safety, prompt injection detection, LLM evaluation frameworks, and compliance-first engineering (SOC2, HIPAA). I have delivered measurable business impact, including $230K+ annual savings through intelligent automation and eliminating millions of vulnerabilities across enterprise environments.

I lead cross-functional teams, mentor engineers, and own end-to-end product, infrastructure, and AI pipelines for production systems. I seek to bring pragmatic, secure, and cost-optimized AI solutions to organizations that prioritize governance and measurable outcomes.

Experience

Work history, roles, and key accomplishments

RA
Current

Principal Cloud Architect

Reinsurance Group of America

Jan 2019 - Present (7 years 5 months)

Led enterprise cloud transformation across 200+ AWS accounts, architected AI/ML platform foundations and a cost-optimized vLLM inference trial, and delivered $230K+ annual savings via serverless automation while improving compliance and auditability.

RA

Cloud Operations Engineer

Reinsurance Group of America

Jan 2018 - Jan 2019 (1 year)

Stabilized large AWS environments through automation, developed reusable Terraform modules, and supported DevOps for ECS/ECR and CI systems to improve reliability and deployment velocity.

NS

Software Integration Engineer

NEC Energy Solutions

Jan 2017 - Jan 2018 (1 year)

Led API development on a greenfield Python/Flask project with Galera MariaDB, implementing JWT authentication, RBAC, and distributed task processing for time-series analytics.

Education

Degrees, certifications, and relevant coursework

Jefferson College logoJC

Jefferson College

Associate of Applied Science, Computer Information Systems

Grade: 3.8 GPA

Completed an Associate of Applied Science in Computer Information Systems with a 3.8 GPA, focusing on practical IT and systems coursework.

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