Fatma Zehra Çetin

- Improving inference execution, monitoring, and logging in Genus Core for in-ovo sexing. - Building a Release Validation pipeline, which validates a trained model via CI/CD jobs and Docker images. - Adding features to the new ML library, such as hyperparameter optimization, callbacks to improve monitoring, and exporting models to different formats.

Retrieving all the company data from the Swiss Business Registry API (ZEFIX) and storing it in a MySQL database in a lossless manner. It supports updating the database and providing the legal PDF, which states the source of the legal information.

C# .NET, AVA software design & development

C#, .NET

- Turkish language spelling correction with RNNs using Tensorflow. - Serving ML models using Tensorflow Serving. - Building an API testing tool with AngularJS and NodeJS.

Voluntary research focusing on Machine Learning. - News Classification using Support Vector Machines (SVM) - Image Classification employing Convolutional Neural Networks (CNN) - Image Inpainting Methods - Optimization Algorithms

Ensuring work safety using object detection and face recognition using Tensorflow's Faster RCNN model on images, videos, or IP cameras.

Passed with Distinction Specialized in Machine Learning and Computer Vision. Master's Thesis: Diffusion Inspired Segmentation

Ranked 3rd in the class of 2021 Bachelor's Thesis: A question answering system that extracts text with deep learning.