Jibin Sebastian
Bremen
Summary
Detail-oriented Master's student in Electrical Engineering with software engineering experience in modelling, simulation, computer vision, and data analysis. Skilled in Python, C++, OpenCV, PyTorch, and YOLOv8, with a focus on synthetic sonar image generation and underwater object detection. Develops research-led systems that integrate simulation and machine learning, providing evidence-based comparisons to drive informed decisions.
Overview
2
2
Languages
1
1
Certification
6
6
years of professional experience
Work History
Master's Thesis – Modeling & Simulation for Sonar Object Detection
Institute for Underwater Acoustics, Sonar Technology & Signal Theory – Hochschule Bremen
BREMEN
10.2026 - Current
- Trained and evaluated YOLOv8 object-detection models using synthetic and real sonar datasets.
- Developed Python-based simulation and synthetic data generation pipelines, enhancing accuracy of underwater sonar imagery analysis.
- Implemented and compared image-modeling techniques, including Poisson, Laplacian Pyramid, and Mixed-Gradient blending, to optimise detection performance.
- Defined quantitative evaluation metrics and KPIs including SSIM, Wasserstein Distance and boundary-gradient analysis.
- Performed statistical analysis of detection performance across multiple simulation configurations.
- Processed and evaluated large experimental datasets using Python, NumPy, Pandas, and OpenCV, supporting data-driven decision-making in sonar object detection.
- Developed reproducible experimental workflows for comparing alternative simulation and modeling approaches.
Autonomous Person-Following Robot – Computer Vision & Robotics
BIP
BREMEN
01.2026 - 05.2026
- Developed ROS-based autonomous robot to detect and follow humans, enhancing interaction in dynamic environments
- Implemented YOLOv8 for real-time object detection, improving tracking accuracy and responsiveness
- Integrated Jetson Nano edge AI computing platform, enabling efficient processing for autonomous navigation
- Designed system architecture including state machines and real-time command control
- Implemented remote monitoring and alerts using Python automation
- Studied artificial intelligence applications in robotics at Hochschule Bremen
Software Test Engineer
US Technology
Trivandrum
01.2021 - 01.2023
- Developed and executed automated test cases for enterprise software systems
- Utilised test automation frameworks and debugging tools to enhance testing processes
- Collaborated with development teams to identify defects and implement resolutions
- Enhanced system reliability through implementation of structured testing workflows
Education
M.Sc. - Electrical & Electronics Engineering
Hochshule Bremen
BREMEN10-2026
Bachelor of Technology -
AmalJothi College of Engineering
Amaljyothi01-2021
Skills
- YOLOv8
- Python
- NumPy
- TensorFlow
- PyTorch
- Machine learning
- Computer vision
- Image Processing
- Data analysis
- MATLAB
- C/C
- Scikit-learn
- Test automation
- Robot operating system
- Embedded systems
- Matplotlib
LANGUAGES
English Advanced
German Advanced. B2
Certification
- Data Science certificate of Appreciation
Timeline
Master's Thesis – Modeling & Simulation for Sonar Object Detection
Institute for Underwater Acoustics, Sonar Technology & Signal Theory – Hochschule Bremen
10.2026 - Current
Autonomous Person-Following Robot – Computer Vision & Robotics
BIP
01.2026 - 05.2026
Software Test Engineer
US Technology
01.2021 - 01.2023
M.Sc. - Electrical & Electronics Engineering
Hochshule Bremen
Bachelor of Technology -
AmalJothi College of Engineering