Performance Assessment of LiDAR Odometry Frameworks
Case study with loop closure at Australian Botanic Garden Mount Annan. Benchmarked LiDAR odometry and analyzed trajectory drift under real-world conditions.
Building reliable autonomy
from pixels and point clouds.
Robotics and AI researcher with hands-on experience across Australia, Portugal, and Germany. I blend computer vision, LiDAR perception, and modern deep learning to build reliable autonomous systems. It all started with my first robot at the FIRST LEGO League—curiosity turned into a craft.
Computer Vision
LiDAR / SLAM
Deep Learning
NLP
Robotics
From LEGO to lidar.
I first touched robotics at FIRST LEGO League. That spark pushed me to pursue a B.Sc. in Robotics & Intelligent Systems and an M.Sc. in AI & Machine Learning, working on perception and autonomy along the way.
- Based in Darmstadt, Germany
- DAAD RISE Scholar (2023, 2024)
- Built & taught: Tutorials for 97 students in Computer Vision
Timeline
- 2024–Present
M.Sc. AI & Machine Learning
Technische Universität Darmstadt
NLP, Multimodal AI, SML, Deep Generative Models, DL for Medical Imaging.
- 2024
Research Intern
Australian Centre for Robotics (Sydney)
Co-authored ACRA 2024 paper on LiDAR odometry with loop closure.
- 2023
Research Intern
Ingeniarius (Porto)
Implemented LIO–SAM pipeline and mentored RobotCraft students.
- 2022
Research Intern
DFKI (Bremen)
Built MuJoCo models for APRIL project; tactile force experiments.
- 2021–2024
B.Sc. Robotics & Intelligent Systems (Honours)
Constructor University Bremen
Thesis: Object detection on road images with XAI.
Selected research
LIO–SAM Mapping with Octree Change Detection
Transformed LiDAR point clouds into octrees to rapidly identify novel environmental information, speeding up large-map processing.
Anthropomorphic Hand Simulation for APRIL
Developed simulation models for the MIA Hand and conducted tactile force experiments to evaluate grasp stability.
Experience
- Teaching Assistant — Computer Vision, Constructor University (2023–2024)
Weekly tutorials; graded programming assignments; 97 students.
- Co‑main Organizer, jacobsHack!22 (2022)
Led 5 departments; sponsor relations; onsite ops for one of Central Europe’s largest hackathons.
Awards
- DAAD RISE Worldwide Scholar 2024
- DAAD RISE Worldwide Scholar 2023
Winter & Summer Schools
- Australian School of Robotic Systems (2024)
- Inria–DFKI Joint Summer School (2023)
Skills
Programming
Python, C/C++, MATLAB
Frameworks
PyTorch, TensorFlow, ROS
Data/Tools
OpenCV, PCL, pandas, Git, Linux, LaTeX
Robotics/Sim
MuJoCo, Gazebo
Languages
English (Fluent), French (Fluent), Arabic (Fluent), German (B2)
Contact
Open to research collaborations, internships, and product-focused ML/Robotics roles.