Ahmet Yeter - Software Engineer

Recommended expert

Bremen, Germany

Experience

Jan 2024 - Dec 2025

2 years

LIDAR-based development of measurement and detection algorithms
Debugging, testing and evaluation of the developed methods
Programming in C++ (STL and containers)
Using the Microsoft Visual Studio IDE
Version control with SVN
Implementing the graphical user interface with MFC
Documenting developer manuals and specifications
Worldwide commissioning of the developed applications
Communication analysis between PLC and the application
Technologies and tools: C++, boost, MS Visual Studio, MS Visio, SVN, Google Test, MS Word, STL, TCP, OPC, Profinet, CAN, CI/CD, Jenkins, PLC, LIDAR, Wireshark

Jun 2020 - Jan 2024

3 years 8 months

Simulating, developing and evaluating algorithms for surface measurement methods to inspect rails and overhead lines using laser and camera data
Programming in C++ (STL and containers) and Python
Using Microsoft Visual Studio and PyCharm IDEs
Documenting developer manuals
Software testing using the CppUnit framework (Google Test)
Using image processing and detection tools such as OpenCV, keras, tensorflow, scikit, NumPy
Version control with SVN
Using the CMake build tool and the Jenkins CI/CD pipeline
Querying track data with MariaDB
Implementing the graphical user interface with the Qt framework (Qt Widgets)
Developing detection methods based on LIDAR data
Implementing a communication interface (TCP) for receiving sensor data
Decoding, transforming, and displaying environmental data
Technologies and tools: C++, OpenCV, boost, MS Visual Studio, SVN, Qt Widgets, MariaDB, Google Test, MS Word, STL, TCP, CI/CD, Jenkins, Python, PyCharm, Tensorflow, keras, numpy, scikit, matplotlib, CMake, LIDAR

May 2019 - Oct 2019

6 months

Detecting anomalies in steel coils using deep learning-based methods
Responsible for labeling and preparing large image datasets to create training data for the deep learning models
Designing and implementing deep learning approaches in Python with Keras and TensorFlow
Training and optimizing various models
Developing real-time anomaly detection systems in industrial environments to improve quality control and production efficiency
Collaborating with interdisciplinary teams to prepare datasets
Using the GitLab version control tool
Using MS Power BI to identify defective steel coils
Technologies and tools: Python, machine learning, Tensorflow, keras, data science, numpy, OpenCV, scikit, GitLab, MS Power BI

Oct 2018 - Feb 2019

5 months

Developing a desktop application for monitoring production facilities in Java
Developing a query program for an alert system of Siemens' WinCC visualization system
Implementing various filtering options to customize queries
Using a Microsoft SQL Server database to store alerts
Setting up user permissions for database access
Using Swing to render the graphical user interface
Displaying queried alerts in a chronologically sorted table
Using the Eclipse IDE
Technologies and tools: Java SE, Eclipse, MySQL, MS SQL Server Management Studio, Swing, WinCC

Jun 2018 - Sep 2018

4 months

Specialization

Data Analysis
Preparation Of Image Data And Point Clouds
Implementation And Training Of Machine Learning-based Methods
Data Analysis With Numpy, Scikit And Pandas
Software Development And Testing
Development Of Lidar-based Sensors For Measurement And Detection Systems In C++
Development And Evaluation Of Algorithms For Rail Surface Inspection Using Camera And Laser Data In C++ And Python
Development Of Desktop Applications In Java And C++
Conducting Tests (Junit And Google Tests) And Documentation Of The Analyses