Location: Germany, work world-wide
Remote: Yes, remote-only
Willing to relocate: No
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
Email: deepmodel (at) protonmail.com