Fredrick Adjei
Bremen,HB
Summary
Aspiring Robotics Engineer currently pursuing a Master’s degree in Robotics and Autonomous Systems, with a focus on Robotics, Real-time systems,Autonomous Systems and PLC(Programmable Logic Controller. Skilled in model predictive control, computer vision, and leveraging advanced deep learning techniques to address complex automation and robotics issues Proficient in the practical design and optimization of robotic systems, combining strong theoretical knowledge with hands-on experience
Overview
4
4
years of professional experience
1
1
Certification
Work History
E-Bike Service Technician
Radweg Reisen
07.2024 - 09.2024
- Responsible for the maintenance and repair of both electric and mechanical bicycles
- diagnosing electrical and mechanical issues, performing routine checks, and upgrading components as needed
Machine Learning Intern
Inoxoft
07.2021 - 8 2021
- Participated in the development and implementation of machine learning models
- Assisted in data collection, cleaning, and analysis to prepare datasets for training and validation
IT Support Engineer
Insurance Supermarket
02.2021 - 08.2021
Main Activities and Responsibilities:
- Informing customers about available products for their account.
- Providing information and assisting with the resolution of customer issues.
- Working on tickets.
Education
Master of Science - Robotics And Autonoumous Systems
Universitat Zu Lubeck
2026
Bachelor of Science - Computer Science
L'viv Polytechnic National University
06.2022
Skills
Machine Learning and Deep Learning
Robotics
Medical Robotics
PLCs (Programmable Logic Controllers)
C/C
Computer Vision
Projects
MSO Movement Prediction with Echo State Networks
a neural network based missile control system
within a simple 3D space combat simulation. The goal is to predict the flight trajectory of the target in order
to estimate where it will most likely be in the future.
Robotics Control System Development
Developed detailed state charts for managing the movements of a vacuum gripping robot within a complex automated system
The project focused on enhancing precision in robot positioning using encoder feedback for vertical, horizontal, and rotational movements, and implementing color-based sorting mechanisms in the processing workflow.
Developed detailed state charts for managing the movements of a vacuum gripping robot within a complex automated system
Certification
AWS Certified Solutions Architect
Personal Information
Title: Robotics Engineer
Timeline
E-Bike Service Technician
Radweg Reisen
07.2024 - 09.2024
Machine Learning Intern
Inoxoft
07.2021 - 8 2021
IT Support Engineer
Insurance Supermarket
02.2021 - 08.2021
Master of Science - Robotics And Autonoumous Systems
Universitat Zu Lubeck
Bachelor of Science - Computer Science
L'viv Polytechnic National University