Open to opportunities

Kevin Lively

@kevinlively3

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Seasoned AI/ML architect delivering enterprise-scale, compliant Generative AI and MLOps solutions.

United States

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What I'm looking for

I seek leadership roles building enterprise-scale, compliant AI platforms—driving multi-cloud MLOps, generative AI productionization, cost optimization, and cross-functional alignment.

I am a seasoned AI/ML architect and enterprise AI lead with deep experience designing and operationalizing large-scale AI ecosystems across healthcare, financial services, and e-commerce. I have led cross-functional teams to deliver HIPAA- and GDPR-compliant solutions, built multi-cloud MLOps pipelines, and advanced Generative AI, LLMOps, and model governance to produce measurable business impact.

My work includes architecting cross-cloud inference and LLMOps frameworks, optimizing inference and FinOps to reduce compute costs, and operationalizing data lineage and audit-ready model traceability. I combine hands-on expertise with strategic leadership to align AI roadmaps with executive priorities and embed responsible, scalable AI into production systems.

Experience

Work history, roles, and key accomplishments

Current

Lead AI/ML Engineer

Current

CitiusTech

Mar 2021 - Present (4 years 7 months)

Spearheaded design of enterprise AI ecosystems for clinical analytics and patient-outcome prediction, leading a 12+ person cross-functional team to deliver HIPAA-compliant, multi-cloud solutions and reduce inference compute cost by 30%.

Generative AI AWS Sagemaker Pinecone MLFlow HIPAA

Senior Data Scientist

Feedzai

Sep 2017 - Feb 2021 (3 years 5 months)

Led a team of 6 to build fraud detection and risk systems, implementing distributed inference and streaming feature pipelines that improved fraud detection efficiency by 25% and reduced annual losses by $150,000.

Ray Kubernetes Docker Spark Kafka Feast MLFlow Airflow ONNX Runtime

MLOps Engineer

Dataiku

May 2015 - Aug 2017 (2 years 3 months)

Engineered cloud-based ML infrastructure and ETL pipelines for e-commerce personalization, defining CI/CD and data validation standards that improved pipeline reproducibility and system efficiency.

Pyspark Airflow SQL TensorFlow PyTorch Great Expectations Docker Flask

Machine Learning Engineer

Uniphore

Jan 2014 - Apr 2015 (1 year 3 months)

Built and deployed ML models and automated ETL workflows for fraud detection and conversational intent recognition, improving forecast accuracy by 15% and delivering real-time scoring microservices.