Freddie Mac

Support data science and machine learning workloads in the cloud based on kubernetes infrastructure and kubeflow open source software.  Provide programming guidance related to use of deep learning frameworks.  Led development of prototype that demonstrated feasiblity of model serving over several thousand ML models with sub-second scoring time latency.

Senior Technical Lead

Accomplishments:
Defined architecture for initial data science work to be conducted in AWS.  This included the software stack (Anaconda Python and Apache Spark).  Conducted initial research and developed working prototype of AWS EMR cluster to support Spark applications.
Developed working prototypes for automated machine learning using DataRobot.  Technical lead in establishing data science platform in the AWS cloud.  Conducted data engineering research for handling large scale unstructured data with Apache Spark.  Established prototype for using cloud-based AI services.  Designed scikit-learn ML pipeline for Python-based model training and hyper-parameter optimization.  Conducted research into deep learning software stacks (tensorflow, theano).
Led technical work to establish a data science laboratory prototype in the Azure Cloud and define infrastructure to support deep learning.
Led architecture work to evaluate and implement a Hadoop infrastructure.  Currently working with cross functional team to establish the data science practice.
Served as Technical Lead for establishing an Application Portfolio Management function using the Troux repository.  Work included developing monthly reporting procedures for architecture integrity metrics.
Established ARIS modeling standards for BPMN and IT related models.  Automated ARIS procedures for managing models in the repository.

Technical Architect

Collaborated with senior business executives to develop 3 year technology roadmaps.  Key contributor to starting an architecture governance process.  Senior technical lead in the implementation of a grid computing infrastructure to support financial modeling.

Enterprise Architect

Drove new technology activities that resulted in the implementation of several key infrastructures such as the installation of a supercomputer for financial modeling and messaging based  infrastructure for integration.

Chief Technologist

Led project to investigate the use of artificial intelligence technologies for mortgage underwriting.

Project Lead

Lead Systems Programmer

Riggs National Bank

Served as the systems programmer for the banks core computer systems.  Responsible for administration and maintenance for a variety of IBM mainframes.  Served as systems programmer for the IMS/DC environment.

Systems Programmer

US Army Security Agency

Served as systems programmer for the headquarters information systems.  Responsible for the maintenance of the IBM mainframe.

Computer Programmer

9th Infantry Division, United States Army

Light Weapon Infantryman

Specialties: Data science, predictive analytics, machine learning, cloud computing, data visualization, R, Python, Enterprise Architecture, operations research, discrete event simulation modeling, Excel/VBA programming, open source software development

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