AYSU DALOGULLARI
OK
Overview
2
2
years of professional experience
Work History
Software Engineer
Skin Check
Tulsa, Oklahoma
08.2024 - Current
- Spearheaded the design and development of SkinCheck Connect, a new telehealth iOS product, using Swift and SwiftUI, from backend API architecture to full frontend implementation.
- Built a robust network manager and modular API request system, improving maintainability and scalability across the mobile platform.
- Led the architectural design of backend endpoints, collaborated with cross-functional teams, and implemented seamless communication between the iOS client and server.
- Engineered the development of testing, building, and deploying key features for the Telehealth MD platform using React and TypeScript, resulting in a 40% increase in user engagement by enhancing Telehealth connections, remote patient monitoring, and AI-assisted diagnostics.
Graduate Research Assistant- Computer Science Department
University of Southern Mississippi
Mississippi, MS
08.2023 - 12.2024
- Conducted research on persuasive tech system design and behavior change for a mobile health app, securing a dissertation committee publication.
- Partnered with faculty and students to guide experimental design and methodology. Reconstructed and developed the nursing department’s web interface using Next.js and React, resulting in a 60% improvement in user experience.
- Developed and deployed a MySQL database within Kubernetes and Docker, facilitating seamless access for over 200 students and professors to the student request form page, while enhancing overall data management efficiency.
Education
Master of Science - Computer Science
University of Southern Mississippi
Hattiesburg, MS12.2024
Bachelor of Science - Computer Information Systems & Business Management
University of Tulsa
Tulsa, OK05.2023
Skills
- User interface design
- Mobile application development
- React and TypeScript
- Python and Java
- HTML, CSS, JavaScript
- Database management(SQL)
- TensorFlow and PyTorch
- Cloud platforms (AWS, Google Cloud)
- Kubernetes and Docker orchestration
Personal Project (Machine Learning)
-VNL Win Probability Model Project (ML) - Github, Developed a machine learning-based win probability model for Volleyball Nations League (VNL) using Python and data science techniques., Created data scraping scripts with Selenium to gather match statistics such as game times, teams win-loss history., Implemented machine learning algorithms such as Decision Trees, and ANN to successfully predict match outcomes and visualize results.
Timeline
Software Engineer
Skin Check
08.2024 - Current
Graduate Research Assistant- Computer Science Department
University of Southern Mississippi
08.2023 - 12.2024
Master of Science - Computer Science
University of Southern Mississippi
Bachelor of Science - Computer Information Systems & Business Management
University of Tulsa
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