Sven Wanner-Project Manager, Senior Computer Vision Engineer & Computer Graphics Expert
Check rate
Experience
Simulation Engineer
ID Engineering
Simulation of photometric stereo setups to determine optimal positions of cameras and light sources for specific parts.
Business Value: Enabled a cost-effective and scalable solution to determine hardware setups for specific parts.
Tech Stack: Python, Blender
Project Lead and Simulation Engineer
Xaptech GmbH
Simulation of a vision solution for robot-assisted sewing & fabric processing
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 simulation of dynamic processes without complex manual test setups and physical test series.
Tech Stack: Python, Blender API, AWS
Project Lead and Delivery of Customer Projects
Artificial Pixels GmbH
Web-based training platform for generative AI
Goal & Implementation: Concept and development of a scalable web framework for the fully automated generation of synthetic image datasets with the help of controllable generative models (DeepRendering) for photorealistic generation of training data.
Business Value: Significant reduction of project time in training vision AI models.
Tech Stack: Python, PyTorch, AWS (Elastic Beanstalk, SageMaker, S3, EC2), Django
Frameworks for Developing Digital Twins in the Vision Field
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 a machine vision context.
- Business Impact: Reduced effort in the development of digital twins in the machine vision field 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 Lead and Software Engineer
- Environment: Visual Inspection
- Goal & Implementation: Development of an intuitive, real-time capable user interface (UI) for controlling industrial cameras and interactive annotation of complex scenes.
- Business Value: Optimization of setup and adjustment times through user-friendly camera calibration and annotation.
- Tech Stack: Python, Qt, OpenGL
Computer Vision and Synthetic Data Engineering
Verschiedene
- Role: Project management & Computer Vision Engineer
- Environment: Visual inspection
- Goal & Implementation: Customer projects in defect detection and object detection with the aim of training robust AI models even for use cases with poor data availability.
- Business Impact: Training object detection and segmentation models using synthetically extended 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 for the full automation of creating 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 items 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 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 for 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
Co-Founder & CEO
Artificial Pixels GmbH
- Managing director of an engineering company focused on generative AI solutions and synthetic data generation.
- Project lead and developer for digital twins / synthetic data and vision applications
Project Management & Senior Computer Vision Engineer
trinamix GmbH
Product development of an in-cabin monitoring solution for driver monitoring
Goal & Implementation: Development of an in-cabin 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
- Development of a modular web-based annotation framework.
- Project lead for the annotation framework
- Architect & responsible for the design of the company's data processing tools.
Head of UX & Frontend Developer
Quality Match GmbH
Development of a modular web-based annotation framework for annotating large automotive datasets.
Goal & Implementation: Development of a modular frontend that made it possible to quickly build different mini-apps for image annotation.
Business Value: Cost-effective and flexible creation of application-specific annotation apps
Tech Stack: Javascript, React, Node.js, Python
Simulation & Senior Computer Vision Engineer
trinamix GmbH
Sensor Simulation
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: Low-cost evaluation of sensor designs and data generation for training
Tech Stack: Python, Blender, Qt
Senior Computer Vision Engineer
trinamiX GmbH (BASF Group)
- Algorithm development for a 3D sensor system.
- Simulation of 3D sensor systems to generate ground truth data and for rapid prototyping
- Project management for in-cabin sensing & product development in the automotive field.
Software Developer
Deutsches Krebsforschungszentrum (DKFZ)
- Development of a hyperparameter optimization framework for ML models in medical imaging
Founder & CTO
HD Vision Systems GmbH
- 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
- Head of development, responsible for product development and customer projects
Project Management & Development
Product development of a software solution for processing light fields (multi-sensor data)
- Environment: Robotics / 3D Sensing / Inspection / Logistics
- Goal & Implementation: Development of a software solution for 3D reconstruction from light field data. Execution of various customer and pilot projects in bin picking and industrial quality control and logistics. The focus was on 3D reconstruction, object recognition, and quality control.
Tech Stack: C++, OpenCV, Qt, PCL, Halcon
Postdoc
Universität Heidelberg
- Research in the area 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, Transportation, Education, and Biotechnology.
Business area experience
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Experienced in Information Technology, Product Development, Project Management, Research and Development, Quality Assurance, and Logistics.
Summary
Physics PhD (Dr. rer. nat.) with more than 15 years of solid hands-on experience in the development of computer vision products, 2D and 3D sensors, calibration, user interface development, training dataset optimization, simulation, and the generation of synthetic data. Proven track record of turning complex problems into high-performance, production-ready systems (Python, C++, Javascript). Leadership and project management experience, as well as multiple founding experiences.
Skills
Project Management And Development: Pytorch, Computer Vision, Image Segmentation, Object Detection (Yolo), Specialization In Dataset Optimization And Simulation
Programming Languages: Python, C++, C#, Javascript/Typescript
Computer Vision & Computer Graphics: Opencv, Opengl, Webgl, Qt, 3d Point Clouds, Pcl, Stereovision, Blender Api, Unity, Physical Simulations
Methods & Focus Areas: 2d And 3d Sensor Systems, Generative Data Synthesis, 3d Simulation And Rendering, Sensor Simulation, Calibration, Optical Metrology
Technology: Python, C++, C#, Opencv, Pcl, Open3d, Opengl, Blender, Unity, Javascript, React, Git
Interests: Agentic Ai, Deeplearning, Machine Learning, Image Processing, Computer Graphics And Simulation, User Experience, Writing
Languages
Education
Universität Heidelberg
Dr. rer. nat. · Physics · Heidelberg, Germany
Universität Heidelberg
Diploma · 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).
Sven has at least 13 years of experience. During this time, Sven has worked in at least 21 different roles and for 14 different companies. The average length of individual experience is 1 year and 7 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 Engineer, Project Lead and Simulation Engineer, Project Lead and Delivery of Customer Projects.
Sven's most recent position is Simulation Engineer at ID Engineering.
In recent years, Sven has worked for ID Engineering, Xaptech GmbH, Artificial Pixels GmbH, Visatech GmbH, and Verschiedene.
Sven is most experienced in industries like Information Technology, Manufacturing, and Automotive. Sven also has some experience in Education, Transportation, and Biotechnology.
Sven is most experienced in business areas like Information Technology, Product Development, and Project Management. Sven also has some experience in Research and Development, Quality Assurance, and Logistics.
Sven has recently worked in industries like Information Technology, Automotive, and Manufacturing.
Sven has recently worked in business areas like Product Development, Information Technology, and Project Management.
Sven holds a Doctorate in Physics from Universität Heidelberg and a Master in Physics from Universität Heidelberg.
Sven is immediately available full-time for suitable projects.
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Calculated based on our freelancers’ daily rates as of 3 Sep 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
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