Eduard Feicho
Verified Expert in Engineering
Computer Vision Developer
Berlin, Germany
Toptal member since March 28, 2022
Eduard is a computer scientist from Germany with a passion for computer vision. He has extensive experience in the automotive sector as an ex-BMW, Hella, and Volkswagen self-driving car engineer. In London, UK, Eduard has developed and kickstarted Zappar's ZapBox: Mixed Reality for $30 project.
Portfolio
Experience
- C++ - 12 years
- Computer Vision - 8 years
- Python - 7 years
- Machine Learning - 5 years
- Self-driving Cars - 5 years
- Robotics - 5 years
- TensorFlow - 4 years
- LiDAR - 3 years
Availability
Preferred Environment
OS X, Sublime Text 3, Jupyter, Xcode
The most amazing...
...product I've kickstarted is a $30 mixed reality headset called ZapBox. It's a low-barrier solution for room-scale MR experiences based on Zappar's platform.
Work Experience
Software Engineer
Hella Aglaia Mobile Vision GmbH
- Researched and developed 3D object detection methods with deep learning for LiDAR point clouds.
- Worked on a multi-camera and LiDAR fusion approach for object detection from prototype to production. Grew the team from one to five members.
- Supervised a master thesis student on dynamic occupancy grid mapping with particle filter using radar data. Led to a joint publication.
Computer Vision Research Contractor
Zappar LTD
- Developed a novel pattern and detection method. Created fast, robust, and precise localization methods for marker-based augmented reality at a room scale. Helped kickstart the new ZapBox mixed reality headset product and its production.
- Developed a visual search index for research and development (R&D) purposes.
- Developed a novel pattern detection method and OCR classifier for mobile phone research and development (R&D).
Back-end Mapping Specialist
Wonderbly
- Analyzed 35,000 satellite images for image quality problems, including stitching quality, to guide the second product release risk assessment. After selling a million books and getting Google ventures on board, this was the company's second product.
- Developed a reactive web labeling tool for satellite images.
- Invited a team of undergraduate students to label 35,000 satellite images and obtain a week-long internship.
Image Processing Engineer
Skin Analytics
- Pivoted the company strategy by developing a dermoscopic mole segmentation method. This was the foundation of the company's rescue funding of £500,000 after running into startup cash-flow issues.
- Completed a government research grant worth £100,000 and focused on full-body mole screening.
- Supported the computer vision team, which developed a dry-skin beauty classifier and mobile application.
Master Thesis Student
BMW
- Developed a massively parallel particle filter and evaluated the classifier performance regarding occupancy grid mapping and static or dynamic classification.
- Researched a novel particle filter approach and facilitated better understanding and evaluation of such method inside the R&D group, which led to new publications.
- Combined the particle filter approach with Dempster-Shafer grids, which led to the publication of a new IEEE paper.
Experience
ZapBox: Mixed Reality Kit for $30 by Zappar
https://www.zappar.com/zapboxEducation
Master's Degree in Computer Science
RWTH Aachen University - Aachen, Germany
Certifications
Deep Learning Foundation
Udacity
Google Summer of Code 2012 with OpenCV Internship
Skills
Libraries/APIs
TensorFlow, PCL, OpenCV, Keras, PyTorch, OpenGL, Node.js
Tools
Sublime Text 3, Xcode, Visual Studio, Visual Studio 2010, MATLAB, Jupyter, MATLAB Statistics & Machine Learning Toolbox
Languages
C++, Python, Objective-C, JavaScript, C, Swift, SQL
Paradigms
Agile, Scrum
Platforms
OS X, iOS, Docker, NVIDIA CUDA, Windows, Jupyter Notebook, Ubuntu, Amazon Web Services (AWS)
Frameworks
Angular, AngularJS
Other
Computer Vision, Machine Learning, 3D Reconstruction, Bayesian Inference & Modeling, Robotics, Self-driving Cars, Deep Learning, Object Detection, Tracking, Bundle Adjustment, Structure from Motion (SfM), Simultaneous Localization & Mapping (SLAM), Optical Character Recognition (OCR), Image Segmentation, Image Classification, Image Stitching, Sensor Fusion, LiDAR, Data Science, Calibration, Epipolar Geometry, Bayesian Statistics, Augmented Reality (AR), Algebra, Matrix Algebra, Linear Algebra, Algorithms, Artificial Intelligence (AI), Image Processing, Generative Adversarial Networks (GANs), 3D Geometric Analysis, Graphics Processing Unit (GPU), Mobile Vision, GPU Computing
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