Dan Zeinner
About Dan Zeinner
Dan Zeinner is a Software Engineer with over 10 years of experience in C/C++ programming, currently working at Amazon in Seattle and previously at Super Evil Megacorp in San Mateo. He holds a Master's degree in Computer Science from Digipen Institute of Technology and has expertise in various programming languages and AI technologies.
Work at Amazon
Dan Zeinner has been employed at Amazon as a Software Engineer since 2017. He has accumulated seven years of experience in this role, contributing to various projects in Seattle, Washington. His responsibilities include software development and engineering tasks that leverage his extensive programming skills.
Work at Super Evil Megacorp
Dan Zeinner has worked at Super Evil Megacorp as a Software Engineer since 2015. Over the course of nine years, he has engaged in software development projects in San Mateo, California. His role involves utilizing his programming expertise to enhance the company's gaming products.
Previous Experience at Gazillion Entertainment
Dan Zeinner was employed at Gazillion Entertainment from 2010 to 2015, where he held the position of User Interface Engineer for five years. He also completed a one-month internship as a Gameplay Engineer Intern in 2010. His work focused on user interface and gameplay engineering in Foster City, California.
Education and Expertise
Dan Zeinner studied at the Digipen Institute of Technology, where he earned a Master of Science in Computer Science from 2009 to 2010. He also holds a Bachelor of Science in Computer Science from Miami University, completed from 2004 to 2008. His education has provided a strong foundation for his expertise in programming languages such as C/C++, Python, C#, and Java.
Technical Skills and Experience
Dan Zeinner has over ten years of experience in C/C++ programming and four years of experience in Python, C#, and Java. He has utilized various development tools and technologies, including PyCharm, QTCreator, Visual Studio, and Adobe Photoshop. His technical skills also encompass AI areas like cooperative pathfinding and machine learning, as well as experience with TensorFlow, Numpy, and OpenCV.