
Perry Greene
Engineering / Architecture
About Perry Greene:
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.
Experience
| 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. |
Education
Master's degree at NTU in lip-reading.
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