- Manage data science and development team of several dozen full time employees responsible for building and maintaining custom software supporting real time geospatial analysis and situational awareness for fast-paced 24/7 operations floor- Modernize data engineering systems to increase stability and scalability of streaming data flows processing tens of billions of records a year in real time for decision makers- Drive integration of data science methodologies leading to increase in analyst productivity and increasing data visibility throughout the department- Lead team of DevOps and system engineers dedicated to building and maintaining Kubernetes infrastructure across multiple mission enclaves hosting mission critical applications, databases, data engineering pipelines, and machine learning infrastructure utilizing hardware on-premise- Brief senior leaders in order to acquire funding required for technical projects- Creatively apply technology solutions to fast-paced, shifting operational priorities- Received multiple awards for operational impact throughout tenure

- Train and deploy anomaly detection models for monitoring efficiency of critical systems- Train and deploy custom computer vision models to improve analyst searching capability and provide real-time alerting of critical collected intelligence- Lead integration of current state of the art speech-to-text and translation models to enable analyst searching through bulk audio datasets- Research cutting edge machine learning methodologies and techniques to identify solutions applicable to mission space

- Developed standardized machine learning pipelines and custom statistics for evaluating geospatial data against agency’s goals providing most actionable data to users first.- Develop computer vision pipeline processing thousands of images in real time leading to increased analyst searching through image dataset- Create technical blogs, consisting of Jupyter Notebooks, focused on Python development to raise technical knowledge throughout workforce- Upgraded enterprise Python library for social network analysis methodologies- Build initial methods for structuring, parsing, and triaging a critical text dataset supporting live operations