Ömer Eskidere

Visiting researcher at the Signal Processing Group at the Institute of Telecommunications, TU Darmstadt Skills: Deep Learning · Machine Learning · Signal Processing · Python (Programming Language)

Given Courses: Audio and Speech Processing (Master), Pattern Recognition (Master), Electronic Circuits, Computer programming I (C language), Computer programming II (Matlab), Computerized control, Introduction to Electrical and Electronics Engineering, Industrial Control, Circuit Analysis. MSc Thesis Supervised: Design and implementation of a wearable device for collection and analysis of biomedical signals.

Lecturer, Mechatronic program, Uludağ University, Bursa, Turkey Given Courses: Analog Electronics I and II, Circuit Analysis I and II , Power Electronics, Automatic Control, Electric Machines and Control

Expert, Mechatronic program, Uludağ University, Bursa, Turkey. Other responsibilities: Laboratory applications and course support

Extensive knowledge in design, build, automation and maintain infrastructure on AWS, and AWS sevices such as AWS S3, EC2, VPC, Cloudformation, Cloudfront, Cloudwatch, Databases, , DynomoDB, MySQL, AWS Sagemaker, Kinesis services Hands-on experience with Docker, Container orchestration tools Kubernetes and Docker Swarm CI/CD, automation and control/monitoring tools; Jenkins, Maven, Ansible, Terraform, Prometheus, Grafana and Nexus artifactory Linux, Git, Github, SQL, Bash Scripting

German Language Course, DSH-2 Level

PhD Thesis: "Speaker Recognition with Statistical Modeling", Uludag University, Turkey,

Thesis: "Text to Speech Conversion"