Position: Computer Vision Engineer
Category: Data Science
English level: fluent
Years of experience: 2.5

Developed a full application that, using a neural network, controlled different audio parameters based on human motion.
- Developed fraud detection models for a major e-commerce website (feature engineering, model training, deployment, monitoring).
- Trained human pose and hand pose estimation networks, compressed these models and optimized them to run on edge devices, developed demo applications that allowed for analog control using motion data.
- Created systems for 3d high-definition plant reconstructions using both RGB-D integration and stereo vision combined with latest Deep Learning methods (NeRF-like models)
Product company, preferably an experienced team with well set-up infrastructure (data processing, testing, deployment). Not interested in marketing or finance-related businesses.