Emre Ermisoglu

Altarum

• Designed and implemented cloud-native public health data solutions, contributing to the PHusion (Public Health Fusion) Platform — a multi-jurisdiction disease-surveillance Lakehouse built on AWS.
• Developed scalable data ingestion and processing pipelines using AWS Kinesis, Lambda, S3, HealthLake, and Lake Formation for secure, standards-based public health data integration.
• Authored technical architecture and DevOps documentation, establishing CI/CD processes, deployment standards, and infrastructure governance for cloud-based public health platforms.
• Led implementation and troubleshooting of automated build and deployment pipelines, improving delivery reliability and release velocity.
• Developed RESTful APIs and backend services supporting public health data exchange and interoperability using Java, Spring Boot, Oracle, and healthcare data standards.
• Supported modernization of public health applications, enhancing security and scalability in alignment with HIPAA and public-sector compliance.
• Collaborated with solution architects, product teams, and state agency stakeholders in Agile environments on mission-critical public health software.
• Contributed to AWS grant-funded innovation initiatives on AI-enabled disease surveillance and healthcare analytics.
• Maintained and enhanced Michigan public health surveillance and interoperability platforms through authentication integrations and production deployments.

Altarum

• Led development of the Michigan Syndromic Surveillance System using Java, Spring, Oracle, and REST APIs, improving data accuracy and operational efficiency.
• Collaborated with cross-functional teams in an Agile SDLC, ensuring seamless system integration and reliability.
• Built and managed CI/CD pipeline stages with Jenkins and Gradle, streamlining development and deployment.
• Contributed to the SRA Tool, a JavaFX desktop application, implementing new features and performance improvements.

Wake Forest University Baptist Medical Center

• Developed REST APIs for FHIR resources using PHP and Python, implementing OAuth2 authentication to ensure secure access and seamless data exchange and interoperability.
• Designed and maintained MySQL databases to support application functionality and optimize performance.
• Led the integration of diverse healthcare applications, enhancing system efficiency and streamlining workflows.

University of Arkansas for Medical Sciences (UAMS)

• Upgraded Grails, JavaScript, and CSS libraries in the EventTracker application to improve performance and compatibility.
• Developed the PSS application using Python Flask with a PostgreSQL backend, streamlining data management.
• Customized the Keycloak user interface for UAMS CRIS applications and maintained backend Java code for secure authentication.
• Provided technical consulting for IDeA States Pediatric Clinical Trials.
• Developed and maintained interfaces for UAMS CRIS projects, optimizing business operations.

University of Arkansas for Medical Sciences (UAMS)

• Created and maintained interfaces for UAMS CRIS projects with the MIRTH Interface Engine.
• Built a new Lab Grading System in Java, modernizing a legacy grading engine by refactoring tightly-coupled business logic and adopting open-source rule engine libraries.
• Established a system for managing Foundation Medicine reports using Python, PostgreSQL, and Couchbase.
• Deployed a customized federated SSO solution for UAMS projects.
• Led development of the EventTracker application using Groovy and Grails, ensuring a scalable, maintainable architecture.

University of Arkansas for Medical Sciences (UAMS)

• Engineered middleware interfaces for UAMS CRIS and NCS projects using the MIRTH Interface Engine with MuleSoft-style integration patterns and custom JavaScript/Java logic.
• Pioneered a central user-management tool for UAMS CRIS applications using JavaServer Faces (JSF).
• Supervised maintenance and development of the EventTracker and Lab Grading System applications using Grails, PostgreSQL, Java, and vanilla JavaScript.

University of Arkansas at Little Rock (UALR)

• Collaborated on a Surgical Simulation Framework using C++ and NVIDIA's PhysX library to improve surgical training.
• Developed a Video Segmentation and Retrieval System using Java, C#, and Silverlight.
• Contributed to a parallel DBScan algorithm implementation in Go and C++, boosting data analysis speed.
• Participated in building a Mobile Treatment Monitoring System using C# and the WPF framework.