Dan Shea

Daniel Shea is a seasoned software engineer with a strong background in the health care and fintech industries, having worked both remotely and in-office.

His expertise spans various programming languages including Python, Java, and C, with a focus on developing deep learning models for computer vision and NLP applications.

Daniel's experience also includes designing and deploying web applications using Java Spring, Python Django, JavaScript, and PHP, as well as database design and optimization using SQL.

In the financial realm, he is proficient in programming with MQL4/MQL5 for financial contexts.

Additionally, Daniel has extensive experience in testing products for compliance with IEEE standards, particularly in areas such as Data Center Bridging, Fibre Channel over Ethernet, and Fibre Channel protocols.

He has a Master's Degree in Computer Science with a 3.75 GPA and a Bachelor's Degree in Computer Science Magna Cum Laude with a 3.52 GPA, both from the University of New Hampshire.

Daniel Shea has worked as a Software Engineer at Logical Innovations, LLC, a Software Engineering Consultant at Canopy, a Software Engineer at Hewlett Packard Enterprise, and in Research and Development at UNH InterOperability Lab.