Director, Distinguished Engineer - Machine Learning Experience
Current* Building the next generation Machine Learning Platform for the enterprise
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@capitalone.com
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Charles Song is listed as Director, Distinguished Engineer at Capital One at Capital One, based in Washington DC-Baltimore Area, United States, United States. AeroLeads shows a work email signal at capitalone.com and a matched LinkedIn profile for Charles Song.
Charles Song previously worked as Director, Distinguished Engineer - Machine Learning Experience at Capital One and Director, Distinguished Engineer - Commercial Bank at Capital One. Charles Song holds Ph.D., Computer Science from University Of Maryland.
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Platform Architect for Capital One's Enterprise Machine Learning Platform. Distinguished Engineer with background in applied Software Engineering research. Technology advisor and educator with aim to advance enterprise software engineering practices.Passionate about elegant design and engineering excellence. Skilled in architecting, prototyping, and delivering software products. Proven ability to utilize emerging technologies to devise innovative solutions to real-world problems.
Listed skills include Java, C, Algorithms, Machine Learning, and 6 others.
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Mclean, VA, US
* Building the next generation Machine Learning Platform for the enterprise
Mclean, VA, US
* Defined Commercial Bank’s vendor product strategy as a major component of the Commercial Bank technology strategy* Acted as lead designer for Commercial Bank’s Product Design Council to tackle enterprise technology “big rocks”, including requirements discovery, consensus building, design documentation, and leadership presentations* Provided architectural.
Mclean, VA, US
* Designed target architecture for enterprise document management platform to enable scalable operation and flexible integration* Prototyped and architected intelligent document processing platform to extract insights from document assets* Defined strategy and architecture patterns for back office process automation leveraging machine learning and robotic.
Birmingham, England, GB
Publisher: Packt PublishingPublication date: October 4, 2019Decrease the time to market for AI and ML applications with the power of Amazon Web Services.Perform cloud-based machine learning and deep learning using Amazon Web Services such as SageMaker, Lex, Rekognition, Comprehend, Transcribe, Translate, and Polly.Work through hands-on exercises and learn.
College Park, MD, US
* CMSC436: Programming Handheld Systems (Android)* ENPM614: Software Testing and Maintenance* ENPM696/808F: Reverse Software Engineering
Plymouth, MI, US
* Led the Rapid Prototyping and Innovation competency area including business development, project management, and technology leadership* Trained and managed development teams to provide software engineering support for applied research using rapid iterations, requirement refinement, and flexible design* Successfully completed numerous R&D projects in.
Plymouth, MI, US
* Devised and deployed computer vision based GUI testing framework for NASA’s space network systems* Implemented distributed testing framework to analyze mission critical NASA flight software systems* Designed and developed platform to aggregate and analyze social media data* Managed international internship program, including selection, training, and.
San Jose, California, US
* Implemented common codebase in C for distributed multi-threaded device agents for Windows, Linux, and UNIX hosts* Developed Storage Area Network (SAN) management software in Java with Swing GUI and Java Native Interface (JNI) to interact with device agents written in C* Managed and trained several remote development and quality assurance teams
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Charles Song works for Capital One.
Charles Song is listed as Director, Distinguished Engineer at Capital One at Capital One.
AeroLeads has found 1 work email signal at @capitalone.com for Charles Song at Capital One.
Charles Song is based in Washington DC-Baltimore Area, United States, United States while working with Capital One.
Charles Song has worked for Capital One, Packt, University Of Maryland, Fraunhofer Usa Inc., and Ca Technologies.
You can use AeroLeads to view verified contact signals for Charles Song at Capital One, including work email, phone, and LinkedIn data when available.
Charles Song holds Ph.D., Computer Science from University Of Maryland.
Charles Song is listed with skills including Java, C, Algorithms, Machine Learning, Software Design, C++, Linux, and Project Management.
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