Bilge Ulusay Üste

- Coordinated daily project tasks for a German automotive client - Contributed to development and maintenance of a Sanity Check Tool - Implemented rule logic for requirements engineering use cases - Maintained CI/CD pipelines and containerized the app with Docker - Created test suite using unittest and pytest - Developed reporting visualization module - Handled Eclipse RCP maintenance - Debugged Python-based ETL pipeline and fixed parsing issues

- Developed an AI API for automated financial document parsing using Flask API, Celery, Minio Object Storage, Tensorflow. - Automated and containerized deployment of services of automated financial document parsing API using Docker, Caddy. - Developed and maintained an API for financial document storage and analysis using SQL Alchemy, Flask, Redis Queue, PostgreSQL - Contributed to internal computer vision projects in the fields of document structure recognition.

- Reviewed the analysis of quality assurance models in Matlab/Simulink. - Maintained and improved the model quality analysis tool. - Developed client-side of the newly developed distributed model quality analysis tool, using MVVM architecture, Caliburn Micro and .Net framework in C#.

in Computer Vision Group - Involved with creation and preprocessing of training data for Image Segmentation.

- Participated in a research project with the aim to develop a machine learning based structural similarity index metric (SSIM) for light fields. - Developed a software framework in MATLAB that adds various noise types to light fields. in order to produce the training data.