Omschrijving

Computer Vision Engineer based in Belgium, with 1.5 years of production experience in ML/CV systems.

What I offer:

- Defect detection & quality control automation

- Object detection and classification models

- Edge deployment (Jetson Nano, Coral, Raspberry Pi)

- Dataset creation, labeling & model training

- Real-time inference pipelines

Tech stack: Python, PyTorch, TensorFlow, OpenCV, YOLO, scikit-learn.

I primarily work with manufacturing companies looking to automate manual inspection.

Branche-expertise

Talen

Engels
Vloeiend
Frans
Beperkte professionele capaciteit
Nederlands
Tweetalig / moedertaal
Arabisch
Tweetalig / moedertaal

Voorkeuren voor werkplek

Kan op locatie werken

Antwerpen (tot 50km)

Innops
FOUNDER
DIGITAAL BUREAU & IT-CONSULTANCY
september 2025 - Vandaag (9 maanden)
Brussels, BU, Belgium
AI-focused consultancy for industrial inspection and robotics use cases.
Developing internal prototypes and reusable building blocks (Python, computer vision workflows).
Available for ad-hoc consulting (AI/software support and integrations when relevant).
Computer Vision Machine learning software-architecture
Havencentrum
FREELANCE EDUCOACH
ONDERWIJS & E-LEARNING
augustus 2024 - september 2025 (1 jaar en 1 maand)
Antwerpen, België
Facilitated interactive workshops and excursions for youth (ages 10–18), managed
group dynamics and scheduling, and coordinated sessions using provided
materials and digital administration tools.
Movu Robotics,
AI DEVELOPER
juli 2024 - Vandaag (1 jaar en 11 maanden)
Lokeren, OV, Belgium
• •Developed computer-vision solutions for industrial quality control in a warehouse environment.
• •Built and maintained Python-based AI pipelines, focusing on reliability, modularity, and production readiness.
• •Validated models in a live environment, achieving high-precision performance (>95%) through confidence-threshold tuning.
• •Applied ML lifecycle and deployment practices to move prototypes toward deployable features.
• •Collaborated cross-functionally to align technical decisions with operational constraints.
• •Facilitated interactive workshops and excursions for youth (ages 10–18), managed group dynamics and scheduling, and coordinated sessions using provided materials and digital administration tools.