AI Engineer

Hoang Van Cuong

K** Nguyen Luong Bang, Lien Chieu, Da Nang.

076******* *****************@*****.***

CMC Global 10/2022 - Now

FTECH.AI 05/2021 - 10/2022

ASTI R&D VIET NAM 09/2020 - 04/2021

Personal projects 07/2019 - 09/2021

WORK EXPERIENCE

Software Engineer: Python Developer.

Main responsibilities:

Build back-end solutions for the mobile app/web/streaming applications based on-premise and AWS. Build back-end systems for AI and Computer Vision applications. R&D Deep learning solution for Text-to-Image, image enhancement, Image-to-Image, Text-to-Speech. Projects:

Detect and react in the FPS game.

Image enhancement backend system.

3D Ground detection using Machine Learning.

Technologies: Kubernetes, AWS, YOLOv5, YOLOv7, Torchscript, Multiprocessing, Multithreading, Text-to- Image, Image-to-Image, Text-to-Speech, Kafka, FastAPI, Postgres, MinIO, Docker, Micro-services. Computer Vision Engineer.

Main responsibilities:

Research and apply state-of-the-art machine learning, deep learning in computer vision products. Designed and develop the AI core systems, deploy as microservices and maintains. Build CI/CD pipeline to decrease build, test and deploy process.

Build AI models with unpopular and do not have the available data, improve the accuracy and optimize the processing time.

Transfer and work closely with 5+ PIC AI modules, led intern and fresher members to build AI models, improve the accuracy.

Projects:

E-sport match result extraction: Classify the game's name, the match results, and the team's location for popular e- sport games.

Information extraction for eKYC: Vietnamese identification information extraction for all kinds of identification cards. Mentoring: curriculum vitae reader, segmentation tasks, classification tasks. Technologies: Tensorflow, Pytorch, OpenCV, YOLOv5, CNN, Detectron2, YOLACT, PaddlePaddle, KIE, Docker, FastAPI, Gitlab/Github, Gitlab CI/CD, Pytest, ONNX, Streamlit, MongoDB, MinIO. Machine Vision R&D Engineer.

Main responsibilities:

Research and apply state-of-the-art machine learning, deep learning in computer vision products. Build AI models with unpopular and do not have the available data, improve the accuracy and optimize the processing time.

Projects:

- Masked face recognition.

- Obstructions detection in the industry.

Technologies: Tensorflow, YOLOv4, YOLOv5, OpenCV, face detection, face recognition, CNN, Jetson Nano/Xavier.

IoT and AI developer

1. Fisheries Monitoring.

Description: Build an IoT system to monitor and warn about aquatic lake quality. Technologies: Firebase, react js, hardware system, hardware sensor, ESP32. 2. Plants Detection.

Description: Locate and classify plants for care mode. Technologies: YOLOv3, YOLOv4, Raspberry Pi 4.

https://github.com/vancuonghoang

FTECH.AI 2017 - 2020

HoChiMinh Communist Youth Union Of The ECE Faculty 2017 - 2020 Da Nang Soft Skills Club 2015 - 2017

Da Nang University of Science and Technology Oct 2015 - May 2020 The course of developer, approximately 300 hours of Tensorflow coursework

2021

Machine learning with Python (freecodecamp.org) 2021 First prize ETE AUTORACE. 2018

Awarded good activist Youth Union activities 2018. 2018 Awarded good activist Youth Union activities 2017. 2017 3. Find Faults In Printed Circuit Boards.

Capstone Project: Locate electronic components and find faults in PCB boards. Technologies: OpenCV, YOLOv3, Raspberry Pi 2/3, Image Processing ACTIVITIES

Entertainer, event host, event support

- Event host: woman's day event, mini-game, monthly birthday event

- Event support: YEP

Member of executive board.

- Leader and host outdoor activities on the 30th anniversary of Electronics and Telecommunication faculty and other activities.

Member of executive board.

- Host of the camp with 180 participants, MC, entertainer.

- Leader of the sales team and raised 30 million dongs for a Volunteer trip. Students of Da Nang University with APEC Viet Nam at Trung Vuong theatre. EDUCATION

Good graduation degree of Electronic and Telecommunication Engineering IoT, Design microchips, Embedded systems, Images processing, AI. Machine Learning With Python

Linear regression, KNN, image classifier, text classifier. CERTIFICATIONS

HONORS & AWARDS

ADDITIONAL INFORMATION

Programming Language: Python, C/C++, Arduino.

Skill: Machine learning, Deep learning, Computer Vision, MLOps. Tools: Pycharm, VSCode, Git, Notion, Anaconda, Tmux, Jupiter Notebook, Trello, Docs, Excel, LabelImg, LabelMe, CVAT.

Libraries: Tensorflow, Pytorch, OpenCV, FastAPI, Docker, ONNX, Paddle, Gitlab/Github, Gitlab CI/CD, MongoDB, Streamlit, YOLOv3/v4/v5/V7, YOLACT, Detectron, KIE, Selenium, AWS, MinIO, Kubernetes. Platform: Linux, macOS, Windows, Bash, SSH, Docker, Git, AWS.

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