Open to opportunities

Nathan Hansen

@nathanhansen

Message

Senior AI/ML engineer driving production-grade models and scalable MLOps.

United States

Message

What I'm looking for

I seek senior roles building and operationalizing ML systems with strong MLOps, cloud-native deployments, and cross-functional team leadership.

I am a Senior AI/ML Engineer with over 10 years designing, deploying, and scaling production-grade machine learning systems across healthcare, e-commerce, and enterprise platforms.

I specialize in deep learning, NLP, recommendation systems, and predictive modeling, delivering measurable business impact such as improved retention, cross-sell rates, and forecasting accuracy.

My work emphasizes cloud-native ML architectures and end-to-end MLOps on AWS, GCP, and Azure, including CI/CD, model monitoring, and automated retraining pipelines.

I have led teams to build real-time inference systems and integrated models into microservices, focusing on robustness, performance tuning, and operationalized deployment.

Experience

Work history, roles, and key accomplishments

Senior AI/ML Engineer

Glorium Technologies

Jan 2023 - Feb 2026 (3 years 1 month)

Spearheaded development of an AI recommendation engine that improved cross-sell rate by 18% and led a team of 6 to deploy NLP customer-support models that reduced response time by 40%.

TensorFlow Keras Python AWS Docker Kubernetes Jenkins NLP Recommendation Systems

AI Engineer

Semantic Health

Jan 2019 - Dec 2022 (3 years 11 months)

Developed and deployed medical image classification achieving 95% accuracy and built NLP systems to extract clinical insights, while migrating models to cloud to reduce deployment time by 40%.

PyTorch TensorFlow AWS fastAPI Docker Kubernetes NLP

Machine Learning Engineer

Advantage Solutions

Jun 2016 - Dec 2018 (2 years 6 months)

Built predictive models that increased marketing campaign effectiveness by 20% and developed churn prediction and recommendation systems that improved retention and engagement.