About Mauritius
Computer vision engineer with 20+ years of experience working across research labs, startups and industry. I have built visual systems for autonomous mobility, mapping, retail analytics, biometrics and interactive media — often in early-stage or exploratory environments.
My strength lies in quickly understanding new problem domains, identifying what is technically feasible, and developing robust prototypes that bridge research and production. With a background in physics and hands-on engineering in C++ and Python, I focus on real-world perception problems rather than purely theoretical work.
English
Native or bilingual
German
Native or bilingual
Can work on-site
Berlin (up to 50km)
Experience
- SvarmonySenior Computer Vision EngineerDIGITAL AND ITFebruary 2022 - July 2025 (3 years and 5 months)Berlin, GermanyAR-based indoor navigation and visual localization
- Designed and implemented a camera-based indoor localization system (6-DoF positioning)
- Improved image retrieval and matching for reliable positioning
- Developed sensor fusion and trajectory filtering
- Standardized coordinate systems and pose handling across the stack
- Developed algorithms to derive structured navigation maps from LiDAR point clouds
- Developed privacy-preserving detection and scene understanding
- Implemented performance-critical components in C++ and Python
- Mentored junior developers and presented technical results to engineering and product teams
. - AdvertimaSenior Computer Vision & Machine Learning EngineerDIGITAL AND ITJune 2020 - January 2022 (1 year and 7 months)Berlin, GermanyRetail Computer Vision & Store Analytics (Shelf Monitoring, Planogram Intelligence, Customer Tracking)
- Automatic planogram discovery from monocular shelf images using product embeddings (no manual annotation)
- Shelf detection and perspective correction to improve product recognition performance
- Real-time shelf change detection (restocking, product removal, misplaced items)
- Customer tracking and movement analysis using overhead cameras (privacy-preserving, no facial recognition)
- Automatic store layout and shelf geometry reconstruction from 3D scans and point clouds
- Technical presentations and partner demos of deployed systems
. - Daimler Autonomous ServicesSenior Computer Vision EngineerDIGITAL AND ITFebruary 2019 - May 2020 (1 year and 3 months)Berlin, GermanyVision-based mapping and perception for vehicle fleets
- Helped establish the computer vision effort from its inception, defining data acquisition and analysis approaches
- Designed dashcam data collection using vehicle-mounted cameras and GPS, and supported development of custom recording and storage infrastructure
- Developed monocular visual odometry for velocity estimation and stabilization of GPS trajectories
- Prototyped lane, pedestrian and road-feature detection from fleet video
- Built a video-based traffic sign mapping system using multi-frame tracking, classification and triangulation to estimate real-world sign locations
- Contributed to large-scale processing and indexing of dashcam video and vehicle telemetry
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Education
- PhD inUniversity of Kent at Canterbury1997PhD in
- Bachelor of Science in PhysicsUniversity of Kent at Canterbury, Faculty of Natural Sciences1993Bachelor of Science in Physics