AI-Computer Vision Engineer

DoB: December **, ****

Phone: +84-334-***-***

Gmail: ******.****@*****.***

Github: https://github.com/TheNho

EDUCATION

University of Technology, Ho Chi Minh city, Vietnam – Engineer September 2013 – November 2020, Vietnam

● Major: Mechatronic

● Subjects: Mechanical, Electrical, Control and Automation AI VIETNAM – Online Course

July 2021 – July 2022, Vietnam

● Major: Computer Vision, Natural Language Processing

● Subjects: Linear Algebra, Probability, CNN, RNN Architechures Online Certificate

Deep Learning specifications – Deeplearning.ai

Machine Learning specifications – Deeplearning.ai EXPERIENCE

Hao Phuong Coporation - Shrimp counter system (10/2022 – 05/2023) Description: A system that can count and extract the size of shrimp seed at speed 12.000 shrimp/minute with 94% accuracy.

• YOLOv6S int8-tensorrt quantizated model for object detection.

• SORT tracking to calibrate the average speed of the water flow.

• Run real-time on Jetson Nano.

• Connect to Hikrobot industrial camera.

Personal Project –Anomaly Detection in Relay Module (04/2023 -06/2023) Description: A simple system with a graphic user interface that can classify good and not good relays and locate where the errors are with the accuracy can reach to 90% at image level and 87% at pixel level.

• This is an unsupervised learning, to train the model, we just only need the good samples.

• Padim RestNet18 model to extract features and classify images.

• Connect to Hikrobot industrial camera.

• Communicate with PLC S7-1200 Simens to control the actuator. Engineering thesis - Blister Inspection (10/2019 - 04/2020) Description: Develop the program that can capture images of blisters on conveyor, inspect these blisters into two groups: standard and non-standard. Then the program will send the signal to PLC to control the pneumatic cylinder push non-standard blisters out of the conveyor.

● C++ and MFC interface.

● Fourier transform to extract features from the contours.

● SVM to classify contours from features.

● The program can run real time at the conveyor’s speed < 2m/s.

● The accuracy of the inspection can reach 86%.

SKILL and BACKGRUOND

● Programming languages: Python, C++.

● Frameworks & Platforms: Pytorch, Tensorflow, Keras, Opencv, Numpy.

● Others: Version control: Git-Github, Mechanical 2D-3D drawing: Autocad, Solidwork. THE NHO LE

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