RESUME.

Fullname: TRAN NGOC QUANG.

Date of birth: 26/06/1993.

Address: *** **** *** *** ******, Thanh Khe District, Da Nang City, Viet Nam. Tel: +84-356******.

Email: adym9m@r.postjobfree.com.

I. EDUCATION AND ACHIEVEMENT:

1. Da Nang University of Technology- Vietnam (Bachelor degeree) 2011- 2016 Major: Embedded System class

2. Inha University- Republic of Korea (Master degree) 2019- 2021 Major: Electronics

II. WORK EXPERIENCE:

1. CMC Global- Danang 10/2022- 05/2023

Title: Machine learning engineer

Safety construction:

i. Collecting and crawling data.

ii. Training/ Testing deep learning model for classification tasks of construction. iii. Optimization by converting model into onnx + tensorrt. iv. Deployment in real-time (Jetson NX).

Image Enhancement:

i. Design a system architecture system for an application website using AI models. ii. Coding for functions (upload/ download)

2. Em&AI 06/2022- 09/2022

Title: NLP engineer

Voice sentiment: Deep learning network predicts the sentiment of client and staff. i. Sentiments includes: Natural, Happy.

ii. Use training hybrid features such as Melfrequency cepstrum (MFCC), Hz, Pitches. 3. FTECH CO., LTD. Vietnam 2021- 2022

Title: AI Research engineer (Person in charge for projects). a) Research Liveness Detection (eKYC):

i. Face Anti-Spoofing: Predict an object from a RGB image whether it is a “live” or

“spoof” object through depth-map output. AI 3D model reconstructs a depth map ground truth for training model.

ii. Eyeblink Detection: Integrate Eyeblink and Face Anti-Spoofing for Liveness detection.

(Eye region for detection)

iii. Recaptured Image Detection: Prediction whether an image is recaptued or not. (RGB image for prediction)

b) Research 3D Face Reconstruction from a single image: i. Using AI model reconstructs 3D face from an image input. c) Research Face Recognition:

i. Using AI model predicts an identification information from an RGB image and a databse. ii. Using 3D model enlarges the database ( pose images reconstruction from a frontal image) d) Mentor new members: support technical knowledge and project management. 4. Renesas Design Vietnam Co., Ltd. (RVC), Ho Chi Minh City 2017- 2019 Title: Software Engineer:

a) Verification for modules of a system to understand each module’s function by using Rcar chips of Renesas.

b) Being ability to support customer by analyzing system and Rcar chips performance c) Being ability to research system for modules (concern to middleware or kernel) through detail design, outsource, Linux environment independently. III. RESEARCH EXPERIENCE:

CVIP Inha University (Republic of Korea) 2019- 2021. 1. Facial emotion recognition through landmarks:

i. Using a graph neural network (GNN) with landmark inputs for emotion recognition such as happy, sad, disgust

2. Object detection:

i. Using global and local information from an image detects an object such as car, human, animal.

IV. Capstone project:

1. FPT Software + Da Nang university of Technology 2015- 2016. Autonomous car:

i. Designing items for the car with the necessary sensors and chip and Can bus. ii. Controlling Ultrasonic sensors through Arduino chip to provide a function for the car

(avoiding obstacles).

V. ACHIEVEMENTS:

1. International papers:

i. Object Detection Using Improved Bi-Directional Feature Pyramid Network (link) ii. Facial Landmark-Based Emotion Recognition via Directed Graph Neural Network.

(link)

2. Achieve 35 hours for Project Management Professional (PMP) education. 3. Toefl Itp (PBT): 530 (expired date)

4. Toeic (ETS): 715 (expired date)

5. Data Science Professional Certificate (Coursera online course) VI. Skills:

Python, AI platform (Pytorch, Tensorflow), Minio, PostgreSQL, Pycharm, AWS, OpenVino, ONNX, TensorRT, docker, docker compose.

Environment: Linux.

Device: Jetson NX

Annotation tool: CVAT and crawling tools. (google chrome) Linkedin: https://www.linkedin.com/in/quang-tran-ngoc-a9a024124/ Github: https://github.com/quangtn266

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