Sven W.-Project Manager, Senior Computer Vision Engineer & Computer Graphics Expert
Check rate
Experience
Simulation of Photometric-Stereo Setups
ID Engineering
- Role: Simulation Engineer
- Environment: Mechanical Engineering / Visual Inspection
- Goals & Implementation: Simulation of photometric-stereo setups to determine the best positions for cameras and light sources for each specific part.
- Business Value: Enabled a low-cost and scalable solution for determining part-specific hardware setups.
- Tech Stack: Python, Blender
Simulation of a Vision Solution for Robot-Assisted Sewing & Fabric Processing
Xaptech GmbH
- Role: Project Lead and Simulation Engineer
- Environment: Mechanical Engineering / Robotics
- Goal & Implementation: Development of a physically accurate fabric simulation for highly complex deformable materials as well as implementation of a parallel on-demand cloud rendering pipeline for synthetic data generation.
- Business Value: Enabled hardware design / validation and test data generation as well as the simulation of dynamic processes without time-consuming manual test setups and physical test series.
- Tech Stack: Python, Blender API, AWS
Project Leadership and Delivery of Client Projects
Artificial Pixels GmbH
- Role: Project Manager and Developer
- Environment: Machine Vision
- Goal & Implementation: Design and development of a scalable web framework for fully automated generation of synthetic image datasets using controllable generative models (DeepRendering) for photorealistic training data generation.
- Business Value: Significant reduction in project time for training vision AI models.
- Tech Stack: Python, PyTorch, AWS (Elastic Beanstalk, SageMaker, S3, EC2), Django
Frameworks for Developing Digital Twins in the Vision Environment
Artificial Pixels GmbH
- Role: Simulation & Computer Vision Engineer
- Environment: Machine Vision
- Goal & Implementation: Architecture and implementation of a 3D simulation pipeline based on Blender for generating synthetic image datasets in the machine vision context.
- Business Impact: Reduced effort in the development of digital twins in the machine vision environment by abstracting rendering routines, camera models, and training data creation.
- Tech Stack: Python, Blender
Development of Control Software with GUI for Inspection Cameras
Visatech GmbH
- Role: Project Management and Software Engineer
- Environment: Visual Inspection
- Goal & Implementation: Development of an intuitive, real-time user interface (UI) for controlling industrial cameras and interactive annotation of complex scenes.
- Business Value: Improved setup and adjustment times through user-friendly camera calibration and annotation.
- Tech Stack: Python, Qt, OpenGL
Computer Vision and Synthetic Data Engineering
Various
- Role: Project lead & computer vision engineer
- Environment: Visual inspection
- Goal & implementation: Customer projects in defect detection and object detection with the goal of training robust AI models even for use cases with poor data availability.
- Business impact: Training object detection and segmentation models using synthetically expanded datasets.
- Tech stack: Python, Blender, Generative AI
Development of a Web UI for 3D Bounding Box Annotation of Multi-Sensor Automotive Lidar Data
Quality Match GmbH
- Role: Software engineer
- Environment: Automotive
- Goal & implementation: Development of a browser-based, high-performance 3D visualization engine for annotating and analyzing huge point clouds from multi-sensor lidar systems.
- Business value: Significant performance improvement in data preparation and annotation through smooth real-time rendering directly in the browser.
- Tech stack: React, TypeScript, WebGL
Automated Creation of PBR Material Shaders
Copresence GmbH
- Role: Simulation engineer
- Environment: Communication & gaming
- Goal & implementation: Development of a pipeline to fully automate the creation of realistic skin shaders based on real portraits.
- Business value: Real-time rendering of realistic skin
- Tech stack: Python, Blender
Simulation Pipeline for Generating a Face Database
Copresence GmbH
- Role: Simulation & software engineer
- Environment: Communication & gaming
- Goal & implementation: Development of a Blender-based pipeline for generating diverse human faces to fully automate the creation of millions of data points with randomized accessories and ground truth data for AI model training.
- Business value: Training data generation
- Tech stack: Python, Blender
Simulation and Calibration of a Multi-Sensor System
SpexAI
- Role: Simulation & software engineer
- Environment: Hyperspectral imaging
- Goal & implementation: To automatically calibrate a camera system made up of four 3D sensors, an RGB, an IR and a multispectral camera, a simulation of the system and a calibration routine were developed.
- Business value: Cost savings and sustainability through a simulation-based approach
- Tech stack: Python, OpenCV, Blender, Qt
Data Augmentation for Autonomous Systems
RabbitAI
- Role: Simulation Engineer
- Environment: Automotive & Autonomous Vehicles
- Goal & Implementation: Data augmentation to create training data in the field of autonomous cars and aircraft (drone landings, highway driving).
- Business Value: Creation of large, low-cost datasets for AI model training
- Tech Stack: Python, Blender, OpenCV
Dataset Optimization for Vision AI Systems
Artificial Pixels GmbH
- Role: Co-Founder & CEO
- Environment: Machine Vision
- Goals: Building an engineering company focused on generative AI solutions and synthetic data generation.
- Tasks: Project management and developer for digital twins / synthetic data and vision applications
Product Development of an InCabin Monitoring Solution for Driver Monitoring
trinamix GmbH
- Role: Project Management & Senior Computer Vision Engineer
- Environment: Automotive
- Goal & Implementation: Development of an InCabin monitoring solution for driver monitoring in cooperation with BMW. The focus was on gesture recognition, material classification, and 3D reconstruction.
- Business Value: Pre-series / prototype development
- Tech Stack: Python, C++, PCL
Head of User Experience
Quality Match GmbH
- Role: Head of User Experience
- Environment: Automotive
- Goals & Implementation: Development of a modular web-based annotation framework.
- Tasks: Project lead for the annotation framework, architect & design responsible for the company's data processing tools.
Project Manager & Senior Computer Vision Engineer
trinamiX GmbH (BASF Group)
- Role: Project Manager & Senior Computer Vision Engineer
- Environment: Automotive
- Goals & Tasks: Product development in the automotive field. PoC and prototype development for driver monitoring
- Tech stack: C++
Sensor Simulation
trinamix GmbH
- Role: Simulation & Senior Computer Vision Engineer, R&D Engineer
- Environment: Machine Vision
- Goal & Implementation: Development of a digital twin of an in-house developed 3D sensor based on active laser projection. The goal was to generate test and training data, as well as software for efficient annotation of the laser projection raw data.
- Business Value: Cost-effective evaluation of sensor designs and training data generation
- Tech Stack: Python, Blender, Qt
Development of a Hyperparameter Optimization Framework
Deutsches Krebsforschungszentrum (DKFZ)
- Role: Software Developer
- Environment: Medical Imaging
- Goals & Implementation: Development of a hyperparameter optimization framework for ML models in medical imaging
Development of a Software Solution for Light Field Systems
HD Vision Systems GmbH
- Role: Founder & CTO
- Environment: Robotics & Industrial Inspection
- Goals & Implementation: Design and development of an industrial imaging software solution for multi-camera (light field) systems with a focus on surface reconstruction, bin picking, and quality control
- Tasks: Head of development, responsible for product development and customer projects
Research in the Field of Light Field Analysis
University of Heidelberg
- Role: Postdoc
- Environment: Research / Industrial Image Processing
- Tasks: Research in the field of light field analysis. BRDF and 3D reconstruction
- Simulation of synthetic image datasets. Development of a framework for processing high-dimensional image data streams.
Industry experience
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Experienced in Information Technology, Manufacturing, Automotive, Education, Biotechnology, and Healthcare.
Business area experience
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Experienced in Information Technology, Product Development, Research and Development, Project Management, and Quality Assurance.
Summary
PhD in Physics with over 15 years of solid hands-on experience in developing computer vision products.
My core strengths are algorithm development for 2D, 3D sensing and multi-sensor systems, 3D simulation and generating synthetic training datasets, sensor calibration as well as the development of intuitive and functional user interfaces.
I have a lot of experience in turning complex problems into high-performance, production-ready systems. I am a passionate developer, but over the years I have also been able to gain a lot of leadership and project management as well as founding experience.
Skills
Project Management: Scrum, Kanban, Waterfall, Jira, Confluence, Asana, Monday.Com, Trello, Notion, Miro, Github, Gitlab, Product Ownership, Technical Project Management
Development: Machine Vision, Defect Detection, Image Segmentation, Object Detection, Dataset Optimization, 3d Simulation, Rendering, Physical Simulations, Controllable Genai, Optical Measurement Technology, Quality Inspection, Sensor Calibration
Tech Stack: Python, Pytorch, Opencv, Blender, Qt, Pcl, Open3d, Unity, C++, C#, Javascript/Typescript, React, Opengl, Webgl, Git
Interests: Agentic Ai, Deeplearning, Machine Learning, Image Processing, Computer Graphics And Simulation, User Experience, Creative Writing
Languages
Education
University of Heidelberg
Dr. rer. nat. · Physics · Heidelberg, Germany
University of Heidelberg
Diplom · Physics · Heidelberg, Germany
Statistics
Experience
Global experience
Expertise
Qualifications
Profile
Frequently asked questions
Have questions? Find more information here.
Sven is based in Heidelberg, Germany and can operate in on-site, hybrid, and remote work models.
Sven speaks the following languages: German (Native), English (Advanced), French (Elementary).
Sven has at least 13 years of experience. During this time, Sven has worked in at least 19 different roles and for 14 different companies. The average length of individual experience is 1 year and 8 months. Note that Sven may not have shared all experience and actually has more experience.
Based on recent experience, Sven would be well-suited for roles such as: Simulation of Photometric-Stereo Setups, Simulation of a Vision Solution for Robot-Assisted Sewing & Fabric Processing, Project Leadership and Delivery of Client Projects.
Sven's most recent position is Simulation of Photometric-Stereo Setups at ID Engineering.
In recent years, Sven has worked for ID Engineering, Xaptech GmbH, Artificial Pixels GmbH, Visatech GmbH, and Various.
Sven is most experienced in industries like Information Technology, Manufacturing, and Automotive. Sven also has some experience in Education, Biotechnology, and Healthcare.
Sven is most experienced in business areas like Information Technology, Product Development, and Research and Development. Sven also has some experience in Project Management and Quality Assurance.
Sven has recently worked in industries like Information Technology, Manufacturing, and Automotive.
Sven has recently worked in business areas like Product Development, Information Technology, and Project Management.
Sven holds a Doctorate in Physics from University of Heidelberg and a Master in Physics from University of Heidelberg.
Sven is immediately available full-time for suitable projects.
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Calculated based on our freelancers’ daily rates as of 24 Sep 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
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