Sr. Director of Engineering, Advanced Analytics & Machine Learning @ Nike
Director of Engineering and Architecture @ ESPN
Director of Consumer Data Engineering @ ESPN
Education:
MSIM @
About:
Leader, Technologist, and Full Stack Software Architect helping enterprises design and implement elastically scalable applications powered by data analytics.
Domain experience and application deliveries in Cybersecurity, Space Telemetry, IoT, and Geospatial Intelligence.
Specialties: Leadership, Innovation, Big Data, Research and Development, Enterprise Architecture, Executable Architectures, Agile, Kafka, Spark, Storm, Hadoop, NoSQL, Analytics, Mobile App Development, Amazon Web Services,
Leader, Technologist, and Full Stack Software Architect helping enterprises design and implement elastically scalable applications powered by data analytics.
Domain experience and application deliveries in Cybersecurity, Space Telemetry, IoT, and Geospatial Intelligence.
Specialties: Leadership, Innovation, Big Data, Research and Development, Enterprise Architecture, Executable Architectures, Agile, Kafka, Spark, Storm, Hadoop, NoSQL, Analytics, Mobile App Development, Amazon Web Services, Virtual Worlds, Game Technology, Modeling and Simulation, Software Development, Systems Engineering, Business Development
Software Engineer Sr. Staff - Program Manager and Big Data Architect @ Lead big data internal research and development programs. Architect, develop, and deploy high data rate processing, big data storage and retrieval, analytics, and visualization solutions for government mission applications and commercial use cases.
Use cases include concentration in Cybersecurity, Space Telemetry Infrastructure, and Analytics.
Personally delivered a horizontally scalable Cybersecurity analytics platform that allows analysts to find threats orders of magnitude faster than previously possible. The platform also enables data scientists to develop advanced analytics across PBs of data saving the SIC time and money by automating discovery of threats early.
Designed and implemented a telemetry ingest and analytics platform called Mach-5 Insight™ which enables analysts to receive alerts about anomalous activity within seconds of starting a space capsule test. In some cases, this saves customers weeks of time. Additionally, the system allows customers to achieve continuous, streaming ingest at high data rates.
Leverage internet scale open source technologies such as Kafka, Spark, Storm, Hadoop, HBase, Redis, Lucene index/search, Angular.js, etc. Apply continuous deployment and configuration management solutions to rapidly release capability using Maven, Jenkins, Capistrano, and Chef. From March 2014 to Present (1 year 10 months) Staff Software Engineer - Principal Investigator and Lead Architect @ Leadership of Big Data Stack Research and Development activities. With the role of principle investigator and project manager, I shaped critical investments in Big Data Infrastructure for LM IS&GS business areas, DevOps, benchmarking performance and scale of Hadoop, NoSQL, Graph databases, etc., data movement ETL capabilities, batch analytics and workflows, data analytics leveraging machine learning, and big data solutions to solve customer hard problems and use cases.
Lead developer and project manager of Mobile Situational Awareness Project. I delivered enterprise services to provide geospatial intelligence applications with real-time data: blue force tracking, human geography, open source data, and intelligence products. I produced mobile applications for Android, iOS, and Web. Architected a Mobile Application Framework for provisioning data and services on demand. From December 2010 to March 2014 (3 years 4 months) Software Engineer Sr. @ Virtual World and Game Engine R&D for Intelligence. Leveraged commercial game engine technology to ingest geospatially accurate 3D models built from imagery sources to provide a virtual operational environment for mission rehearsal, training, and operational scenarios.
Developed advanced architectures and technology to automatically generate 3D models from full motion video and low latency ingest from live assets into virtual world. From December 2007 to December 2010 (3 years 1 month) Systems Engineer @ System Architecture using DoDAF, MoDAF, UML, Zachman. Modeling, Simulation, and Analysis using discrete event simulation tools such as Hyperformix Workbench, Extend and Arena, Virtual Simulation technologies such as AGI Satellite Toolkit, VBS2, etc. and analytical packages such as Matlab and custom C programming. Value Engineering and Decision Support using Analytic Hierarchy Process (AHP), Quality Functional Deployment, and Facilitate Pro. From December 2003 to December 2007 (4 years 1 month) Systems Engineer @ Systems Engineering for Pharmaceutical Control Systems and facilities. I provided services to Eli Lilly and Company on major projects globally. Supported a team focused on reducing time to market through modular construction. Cumulatively, using modular technology cut 33 months from various project schedules while minimizing on-site construction labor requirements. From June 2003 to December 2003 (7 months)
MSIM, Engineering, Modeling and Simulation @ Old Dominion University From 2005 to 2007 Bachelor of Engineering (B.E.), Computer Engineering @ Villanova University From 1999 to 2003 Jason Loveland is skilled in: System Architecture, Systems Engineering, Software Engineering, Software Development, Satellite Ground Systems, Integration, Agile Methodologies, C, Security Clearance, Web Services, Java, Hadoop, Technical Leadership, UML, Object Oriented Design
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