Position: Data Scientist
Category: Data Science
English level: fluent
Years of experience: 5


• Deployed human motion estimation models on triton.
• Deployed text classification model on aws using triton and dynamodb.
• Built the main structure of the das system and its sensor fusion part and implemented it in c++.• I also optimized the AI models in the project by using TensorRt and increased the speed from 19 to 25 fps.
• Developed accurate and smooth road lane detection and tracking using Tensorflow/Kalman filter for the das project.
• Developed pedestrian detection and streaming desktop/non-UI (terminal based) application by fusing camera and radar.
• Implemented deep learning algorithm for Doppler effect based pedestrian detection.
• Built multithreading part and the main structure of multicamera tracking for the cashier less store.
• Adapted cutting-edge action detection technology and trained it on new data.
• Multi camera synchronization
• Multi model deployment on triton server.