Jong Shin
About Jong Shin
Jong Shin is a Lead Application Developer with extensive experience in the healthcare sector, currently working at Evry Health since 2021 after a tenure at HealthCare Information Management, Inc. He holds a BS in Computer Science from California State University, Long Beach, and is proficient in cloud services, development frameworks, and healthcare standards.
Work at Evry Health
Jong Shin serves as the Lead Application Developer at Evry Health, a position he has held since 2021. Based in Dallas, Texas, he focuses on developing software solutions tailored for the healthcare industry. His role involves utilizing his expertise in medical administration systems and workflows to enhance application performance and compliance with healthcare standards.
Current Role at HealthCare Information Management, Inc.
In addition to his position at Evry Health, Jong Shin has been working at HealthCare Information Management, Inc. (HCIM) as a Lead Application Developer since 2016. His responsibilities include overseeing application development and management, leveraging cloud services such as Microsoft Azure and Amazon AWS to optimize deployment processes.
Education and Expertise
Jong Shin obtained a Bachelor of Science degree in Computer Science from California State University, Long Beach, where he studied from 2004 to 2010. His educational background provides a solid foundation for his technical skills, including proficiency in various development frameworks and tools, such as Xamarin Forms for mobile app development.
Previous Experience in Software Development
Before his current roles, Jong Shin worked as a Full Stack Software Engineer at ChoiceOne EHR Inc. and PremierOne Plus MSO from 2009 to 2016. During this time, he gained valuable experience in developing software solutions for the healthcare sector, focusing on medical billing processes and HIPAA compliance.
Technical Skills and Methodologies
Jong Shin possesses strong technical skills in cloud services, machine learning, and software testing. He is experienced in using Azure Machine Learning Studio and Microsoft ML.NET for machine learning projects. Additionally, he is familiar with various testing frameworks, including Microsoft Fakes Framework, xUnit, MOQ, and Selenium, ensuring high-quality software delivery. His understanding of Agile processes and software development life cycle (SDLC) methodologies further enhances his development capabilities.