Technologies: Keras/TensorFlow (recent arXiv models), Python, PySpark, mostly computer vision & large scale 3D processing and visualization
Résumé/CV:
- manufacturing defect detection for automotive industry with Deep Learning (<2% real-world false positive rate)
- detecting crime in progress from pair-wise spatio-temporal relationships of human pose estimates in continuous video feed using time-distributed attention-enhanced ConvNet-RNNs
- 3D indoor reconstruction using SLAM, randomized non-linear optimization, semantic segmentation and depth estimation from mobile video feed (ensemble)
- Mobile traffic anomaly/fraud detection (GBT + discrete VRNN)
- Image content filtering using Deep Learning (DenseNet)
- Diagnosing lung diseases from X-Ray images (CheXNet), surpassing human level performance
- End-to-end self-driving car control (NVidia Dave2Net)
- Top 10 US school MS education; detailed CV upon request
Location: Germany, work world-wide
Remote: 100% remote
Willing to relocate: No
Technologies: TensorFlow, PySpark etc.
Résumé/CV:
- multi-camera human sports activity tracking
- manufacturing defect detection for automotive industry with Deep Learning
- 3D indoor reconstruction using SLAM
- mobile traffic anomaly/fraud detection
- detailed CV upon request
- best 3-6 months intense projects; no management positions at the moment
- US clients via W8-BEN
Email: deepmodel (at) protonmail.com