Position: Senior/Tech Lead Deep Learning Engineer Computer vision
Category: Data Science
English level: upper
Years of experience: 9

Achieved  average 20 place in FRVT NIST 1:1 in 2018
Achieved average 40  place in FRVT NIST 1:N in 2019
-Card detections, Optical character recognition for  ID Cards /credit cards, bank documents

building GAN's for synthetic characters generation (ScrabbleGan, CycleGAN, Conditional Gan)

building and optimizing  detectors (RetinaNet, Yolo, R-CNN, DETR)

building and optimizing  classifiers (CNN, CRNN)

implementing algorithms for document Quality Assessment 



-Biometrics face verification/identification,anti-spoofing, deep fake

implementing and optimizing Face Detectors (MTCNN, SSD, RetinFace)

implementing algorithms for face verification models (Siamese DeepID,SphereFace,ArcFace,CurricularFace)

implementing algorithms for face Quality Assessment 

implementing algorithms for Speech  to Face

implementing algorithms for Face Anti Spoofing