Samirah Amadu
CV
Hello! I’m Samirah Amadu a Computer Vision Engineer from Vienna, Austria.
I am passionate about transferring state-of-the-art developments in computer vision into commercial applications and working with a cross-functional team to achieve a shared goal.
To achieve these goals I have utilized classical computer vision techniques, 3D reconstruction methods, and deep learning approaches.
Experience
Computer Vision Engineer, VIRNECT Europe GmbH (10/2025 – present)
- Developed and extended a production-grade Computer Vision framework for monocular AR applications
- Evaluated processing pipelines using visualization tools like Rerun and Plotly
- Reviewed and evaluated scientific literature to validate implemented algorithm
- Contributed to code reviews and cross-functional technical decision-making in a research engineering team
Computer Vision Engineer, Anyline GmbH (06/2024 – 08/2025)
- Utilized classical computer vision and deep learning techniques to extend a Python-based computer vision pipeline and introduce new features for tire tread depth calculation.
- Analyzed the feasibility of introducing new features by assessing their effects on the performance of our tire tread application.
- Developed interactive visualizations using Streamlit with Open3D to analyze 3D tire scans, allowing the investigation of customer problems.
- Collaborated in a multinational, and cross-functional team to develop a mobile tread depth scanning solution and facilitated the knowledge transfer to non-computer vision engineers.
Computer Vision Engineer, Prism Labs GmbH (10/2020 – 05/2024)
- Researched state-of-the-art literature in 3D reconstruction, shape correspondence and scene flow.
- Implemented neural network architectures from published literature into a commercial ecosystem.
- Systematically evaluated neural network architectures to assess their performance.
Robot Vision Teaching Assistant, Graz University of Technology (03/2021 – 07/2021)
- Prepared assignments for the course participants.
- Assessed the assignment quality of participating students.
- Introduced a new approach for task distribution using Google Colab.
Computer Vision Intern, Prism Labs GmbH (08/2020 – 09/2020)
- Researched the topic Scene Flow using state-of-the-art literature.
- Integrated FlowNet3D into a commercial ecosystem.
- Utilized TensorFlow and CUDA to implement the neural network model.
Advanced Software Engineer, Zühlke Austria GmbH (09/2015 – 04/2020)
- Front- and Back-end development of web applications in banking and government environment.
- Developed REST APIs and features for online banking using Java and Javascript.
- Led a SCRUM Team.
- Collaborated with product owner to define feature requests.
Computer Vision Intern, Optidrive nv. (08/2019 – 09/2019)
- Development of a deep learning-based damage detection prototype using HALCON and TensorFlow.
- Independent research on possible approaches for damage detection.
- Training data acquisition using an industrial camera.
Education
Master of Science in Computer Science
Graz University of Technology
- Computer Science master with a major in Computer Vision and minor in Robotics.
- Masters thesis topic: Surface Embeddings for Model-based Scene Flow for Human Body 3D Reconstruction.
Bachelor of Science in Computer Science
University of Birmingham
- Graduated with first-class honors.
- Bachelor thesis: Photogrammetry (3D Stereo Reconstruction from Images).
Skills
Technical Skills
Python +++++
C++ +++
Matlab +++
Tensorflow ++++
OpenCV ++++
CUDA +++
Linux +++++
Windows +++++
Git +++++
Docker +++
Language Skills
German native
English C2
Japanese B1
