I am a results-driven Senior AI Engineer with 9+ years of experience designing and deploying production-grade machine learning systems across healthcare and technology platforms. I thrive on turning complex data into actionable insights and scalable AI solutions. In my current role at Flatiron Health, I lead end-to-end AI/ML initiatives, collaborate with cross-functional teams, and translate business needs into production-ready, data-driven systems that improve patient outcomes and operational efficiency.

I am a results-driven Senior AI Engineer with 9+ years of experience designing and deploying production-grade machine learning systems across healthcare and technology platforms. I thrive on turning complex data into actionable insights and scalable AI solutions. In my current role at Flatiron Health, I lead end-to-end AI/ML initiatives, collaborate with cross-functional teams, and translate business needs into production-ready, data-driven systems that improve patient outcomes and operational efficiency.

Available to hire

I am a results-driven Senior AI Engineer with 9+ years of experience designing and deploying production-grade machine learning systems across healthcare and technology platforms. I thrive on turning complex data into actionable insights and scalable AI solutions.

In my current role at Flatiron Health, I lead end-to-end AI/ML initiatives, collaborate with cross-functional teams, and translate business needs into production-ready, data-driven systems that improve patient outcomes and operational efficiency.

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Experience Level

Language

English
Fluent

Work Experience

Senior AI Engineer at Flatiron Health
September 20, 2021 - Present
Directed the design and deployment of production-grade AI systems using Python, PyTorch, and AWS; analyzed millions of clinical records; built end-to-end ML pipelines and ML Operations workflows; enabled real-time inference and scalable clinical decision support across oncology analytics.
AI Engineer at Flare
December 1, 2018 - August 1, 2021
Designed predictive AI systems using Python, PyTorch, and XGBoost; orchestrated large-scale ML experiments on 8M+ behavioral and transactional signals to improve fraud detection and risk assessment. Built end-to-end data pipelines and ML workflows with emphasis on governance and reproducibility.
Machine Learning Engineer at Uber
February 1, 2018 - October 1, 2018
Developed scalable ML pipelines on AWS, processing 100M+ mobility events; improved demand forecasting, dynamic pricing signals, and real-time routing predictions. Implemented monitoring and A/B testing to optimize model performance in production.
AI Intern at MindEase
December 5, 2016 - December 20, 2017
Contributed to data processing, feature extraction, and prototype ML models for digital mental health tools; supported early-stage productization, data labeling workflows, and data quality improvements.

Education

Bachelor of Science in Computer Science at Texas Tech University
August 13, 2013 - December 12, 2016

Qualifications

Add your qualifications or awards here.

Industry Experience

Healthcare, Life Sciences, Software & Internet, Professional Services