Available to hire
I am a Machine Learning and Computer Vision Engineer specializing in 3D perception, pose estimation, and end-to-end vision pipelines. I design, build, and deploy production systems that fuse cameras, depth sensors, and inertial data for accurate mapping and navigation.
My experience spans aerial imagery, mobile mapping, and industrial automation. I’m independent, research-driven, and comfortable owning the full lifecycle from prototyping to real-time optimization, testing, and technical documentation for demanding field conditions.
Skills
Work Experience
3D Data Specialist at Freelance
April 1, 2025 - PresentBuild end-to-end 3D perception pipelines for mapping and navigation clients. Developed LiDAR–camera fusion and colorization with filtering for stable RGB point clouds. Implemented orthostrip generation and georeferencing from aerial imagery for large-scale surveys. Optimized trajectory refinement, pose estimation, and QA tooling for long-range sensor logs.
Machine Learning Engineer at Anything World
January 1, 2023 - April 1, 2025Designed and shipped ML pipelines for 3D shape classification, canonical alignment, and part segmentation powering the Animate Anything tool and Anything World API. Reached 95.6% F1-score on the rotated ModelNet40 benchmark with a custom multi-view GCN focused on rotation invariance and efficient inference. Created a proprietary 3D rotation estimation system achieving 2.47 deg median angular error across 220+ diverse characters. Rebuilt the 3D part-segmentation stack with a GCN-based model that matched accuracy while cutting training and inference cost in production.
3D Computer Vision Engineer at coatingAI
September 1, 2021 - January 1, 2023Sole 3D CV engineer designing a multi-camera RGB-D scanning rig for real-time part inspection in powder-coating lines. Implemented calibration, pose estimation, and point-cloud fusion software for precise per-part 3D reconstruction in production.
Junior Researcher at Institute of Systems and Robotics
January 1, 2021 - June 1, 2021Built a computer-vision anomaly detection prototype for glass bottle lines using classical methods and machine learning. Worked with high-throughput industrial image data under strict latency and accuracy constraints.
Education
MSc in Electrical and Computer Engineering at University of Coimbra
January 1, 2015 - January 1, 2021MSc Exchange Program at Aalto University
January 1, 2018 - January 1, 2019Qualifications
Industry Experience
Software & Internet, Manufacturing, Transportation & Logistics, Media & Entertainment
Skills
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