After graduating from Marmara University Mechatronics Engineering Department, I am continuing my master’s degree in the same department at Yıldız Technical University. I have worked in education, electronics and software sectors for more than 5 years in my internship and business life. I am qualified and skilled in deep learning and image processing.
I have been working with artificial intelligence for more than 3 years and I have been developing deep learning and image processing based software in the field of artificial intelligence in health, especially in digital pathology. I worked on Breast Cancer Detection with Hybrid Deep Feature Fusion as my master’s thesis topic. Currently, I am continuing my PhD journey in TU Clausthal and work here as a PhD Researcher

Research Assistant
Technische Universität Clausthal | Clausthal-Zellerfeld, Germany
02.2024 – Present


I am an AI researcher in the BioIntAkt project, which focuses on using AI to detect biodiversity and autonomously identify insect species through their sounds. Funded by the German Federal Ministry of Education and Research (BMBF), the project combines intelligent acoustic sensing with AI. Alongside this, I also pursue AI research and teaching.

MLOps Engineer
CorsoundAI | Tel-Aviv, Israel (Remote)
08.2022 – 11.2023


– Built and managed pipelines for collecting, preparing, and processing datasets for machine learning projects.
– Trained and optimized deep learning models to solve real-world problems.
– Conducted research on the latest machine learning and deep learning techniques to integrate cutting-edge solutions.
– Evaluated models to ensure accuracy and reliability, delivering effective results.
– Analyzed results from experiments and created clear reports to share insights with the team.

Software Engineer | Machine Learning Engineer
Technomind Digital Systems | Istanbul, Turkey
09.2020 – 08.2022


– Contributed to interface development for segmentation and annotation of cell-based pathology images, improving user workflows and data accuracy.
– Collaborated on the development of a deep learning model for the classification of cell-based pathology images, enhancing diagnostic capabilities.
– Conducted research on artificial intelligence algorithms and models, along with comprehensive literature reviews to support ongoing innovation.
– Designed project workflows by creating and distributing project steps, tracking progress, and generating periodic reports.
– Created detailed budgets, project timelines, and managed event planning, including organizing team meetings and stakeholder sessions.
– Managed procurement for product and material supplies, ensuring timely delivery for project needs.

Mechatronics Engineer
EKSON Otomasyon Teknolojileri | Istanbul, Turkey
06.2018 – 12.2019

– Contributed to interface development for segmentation and annotation of cell-based pathology images, improving user workflows and data accuracy.
– Collaborated on the development of a deep learning model for the classification of cell-based pathology images, enhancing diagnostic capabilities.
– Conducted research on artificial intelligence algorithms and models, along with comprehensive literature reviews to support ongoing innovation.
– Designed project workflows by creating and distributing project steps, tracking progress, and generating periodic reports.
– Created detailed budgets, project timelines, and managed event planning, including organizing team meetings and stakeholder sessions.
– Managed procurement for product and material supplies, ensuring timely delivery for project needs.

Ph.D., Computer Science
Clausthal University of Technology | 02.2024 – Present

M.Sc., Mechatronics Engineering
Yildiz Technical University | 09.2019 – 07.2022
Thesis : Performance Comparison Of Transfer Learning Based Convolutional Neural Network Models For Breast Cancer Classification

B.Sc., Mechatronics Engineering
Yildiz Technical University | 09.2014- 06.2019


  • – Python (Numpy, Pandas, Scikit-Learn, Matplotlib, Seaborn),
  • – ML Frameworks (Tensorflow, Keras, Pytorch),
  • – ML Tools (MLflow, Clearml),
  • – Computer Vision Frameworks (OpenCV, Pillow),
  • – MATLAB,
  • – Containerzation (Docker),
  • – CI/CD (Git/Github/BitBucket),
  • – SQL (MSSQL),
  • – AWS (EC2, S3),
  • – Project Management Tools (Slack, Trello, Jira, Confluence, MS Project etc.)