Machine Learning Computer Vision Engineer
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Machine Learning/Computer Vision engineer skilled with 8 years of experience creating ML/CV models.
ML/DL model architecture design from scratch and model train&test with the best performance. Implementation of the models on GCP or AWS cloud platforms and edge devices with optimization theory.
Experience in computer vision algorithms for image pre-processing and enhancement with transformers and filters.
Camera calibration and fusion sensor experience of RGB camera, IR sensor, and LIDAR for object detection & tracking with one-stage and two-stage detection models.
Specialized in feature representation and embedding for images and input parameters.
Love to make solving for challenging problems with algorithms and AI solutions.
Research and engineering experience for computer vision & time-series data projects with ML/DL models in
Keras(Tensorflow) frameworks, Pytorch, Caffe, and Darknet.
Experience in implementation of trained models on devices - raspberry pi & Nvidia-Jetson in python and C++.
Love to join and discuss with teammates for high accuracy and perfect AI goals.
Master's degree at NTU in lip-reading.