Senior Cybersecurity Software And Systems Engineer at WidePoint Corporation
Washington, District of Columbia, United States
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Summary
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Michael Weinberg is a Senior Cybersecurity Software and Systems Engineer with two decades of technology experience and over a decade focused on cybersecurity at WidePoint Corporation. He blends hands-on software development (HTML/CSS, PHP, ASP.NET, C#, Ruby on Rails) with systems- and security-focused engineering, and has supported both commercial products and legal/forensic technology matters. His background as a patent agent and former USPTO examiner gives him uncommon strength in intellectual property, prior-art analysis, and rigorous technical documentation. Michael has built community-facing web platforms, integrated social media and databases, and advised law firms on complex electrical and computer technology patents. Based in Washington, D.C., he’s comfortable switching between deep low-level memory/semiconductor expertise and higher-level web and security system design. Colleagues value him for combining technical breadth with a practiced ability to translate legal and regulatory requirements into auditable technical solutions.
11 years of coding experience
1 year of employment as a software developer
Graduated with an Honors Degree, Cum Laude, Computer Engineering, Electrical Engineering, Software Engineering, Computer Science, Sociology, Graduated with an Honors Degree, Cum Laude, Computer Engineering, Electrical Engineering, Software Engineering, Computer Science, Sociology at University of Delaware
• The Data Scientist’s Toolbox by Johns Hopkins University
• R Programming by Johns Hopkins University
• Usable Security by University of Maryland, College Park
• Getting and Cleaning Data by Johns Hopkins University
• Hardware Security by University of Maryland, College Park
• Exploratory Data Analysis by Johns Hopkins University
• Software Security by University of Maryland, College Park
• Reproducible Research by Johns Hopkins University
• Introduction to Systematic Review and Meta-Analysis by Johns Hopkins University
• Getting Started with Google Kubernetes Engine by Google Cloud, • The Data Scientist’s Toolbox by Johns Hopkins University
• R Programming by Johns Hopkins University
• Usable Security by University of Maryland, College Park
• Getting and Cleaning Data by Johns Hopkins University
• Hardware Security by University of Maryland, College Park
• Exploratory Data Analysis by Johns Hopkins University
• Software Security by University of Maryland, College Park
• Reproducible Research by Johns Hopkins University
• Introduction to Systematic Review and Meta-Analysis by Johns Hopkins University
• Getting Started with Google Kubernetes Engine by Google Cloud at Continued Education via Coursera and associated institutions
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