Alexander Chernykh

Technologies used: Gitlab CI/CD, Terraform, Openshift, Gitlab Container Registry, Docker, Python, MongoDB, Flask

Implementierung eines Java Workers in einem bestehenden ETL-Framework Aufbau eines automatisierten Build- und Deployment Prozesses mit Google Cloud und Docker Container Technologien: Java, Google Cloud, Docker

Code: https://github.com/alexchernykh/ResearchProject Technologies used: Python, PyTorch, OpenCV, Github Actions, Docker - Image processing - Image segmentation - Deep Learning with CNN

Technologies used: Python, PyTorch, OpenCV - Image processing - Image segmentation - Semi-automated image annotation

Technologies used: Python, R, MariaDB, Cassandra, Pandas - Worked for the "Centre for information services and high performance computing"(ZIH) in the SCADS team (www.scads.ai) - Developed a data integration pipeline for time series based sensor data

Technologies used: Python, Docker, scikit-learn, Apache Kafka, Pandas, SciPy Machine Learning - Student Intern: - Built an infrastructure for Anomaly Detection - Developed a pipeline for Anomaly Detection

Average: Grade 1.4; Focus: Machine Learning, Deep Learning, Image Processing, Cloud Computing, Databases

Big Data, NoSQL, Data Science Bachelor Thesis: Exploratory analysis of time series data using clustering