Bui Quoc Phong
AI Engineer
I look forward to working at a leading AI company, where I can learn and develop my skills, while contributing to the growth of the AI industry. Accumulate work experience in the field of developing machine learning models and AI systems.
I believe that with my knowledge and experience, I can meet the requirements of this position. I look forward to having the opportunity to work at the company and contribute to its development. PROFILE
07/07/1995
ad48fi@r.postjobfree.com
Thu Duc City, Ho Chi Minh
City
EDUCATION
HO CHI MINH CITY UNIVERSITY
OF TECHNOLOGY (HUTECH)
ELECTRONICS AND
TELECOMMUNICATION
ENGINEERING
2013 - 2017
The Degree of Engineering
SHORT-TERM COURSE
VTC INFORMATION TECHNOLOGY
AND DESIGN ACADEMY
• Course 1: Python Developer for AI
• Course 2: AI Engineer, Computer
Vision
Hanoi University of Science and
Technology
• Course: Deep Learning
Ho Chi Minh City University of
Science
• Course: Mathematics and
Statistics for Data Science
SKILLS
• Proficient in programming
languages such as Python, C.
• Experience with popular
computer vision libraries and
frameworks, including OpenCV,
TensorFlow, PyTorch, Numpy,
Pandas, and Mathplotlib.
• Solid understanding of machine
learning concepts and deep
learning architectures.
• Experience with image processing
techniques, Neural network, CNN,
RNN, image classification, and
object detection YOLO.
• Proficient in transfer learning
methods, leveraging pre-trained
models such as LeNet, AlexNet,
VGG, ResNet, MobileNet, and
adapting them to new computer
vision tasks, accelerating model
training, and improving
performance with limited data.
• Knowledge of data processing
and data preprocessing
techniques, experience in image
processing, computer vision and
object recognition.
• Experience in Deploying and
optimizing machine learning
models on various hardware and
software platforms.
• Strong mathematical and
statistical skills.
• Experience in programming
microcontrollers: Arduino, ESP,
PIC...
• Excellent problem-solving and
analytical abilities.
• Ability to work both
independently and collaboratively
in a team environment.
WORK EXPERIENCE
Apr 2019 - Jul 2019
ADTECHNOLOGY & SNST VIET
NAM
TRAINEE
• I have been trained SoC (System on Chip) Design flow, Logic design and simulation (Verilog).
• Synthesis with Synopsys DC (Design Compiler) Workshop.
• STA with Synopsys PrimeTime Workshop.
• Design for Test with Synopsys DFTC Workshop.
• Physical Design with Synopsys ICC2 Workshop.
Aug 2019 - Present
ADTECHNOLOGY & SNST VIET NAM
PHYSICAL DESIGN ENGINEER
• Chip Design
• Take gate level netlist from Front End team to do Insertion.
• Insertion SCAN circuits by using Design Compiler (Synopsys). Check quality of Pre/Post DFT netlist.
• Check circuits after Scan Insertion by Formality tool (Synopsys).
• Do ATPG by TetraMax tool (Synopsys).
• Make SDC and release it to STA & PRN team to cooperate to clean timing.
• Do SCAN simulation.
• Do Post ATPG with SDF take from PRN team and Run Simulation with back Annotation and notiming delay case.
• Run Porting patterns for Top Level and run simulation with Post layout netlist.
• Project :
NEPT (On job training)
ELA (7 blocks)
MORI (8 blocks)
PAS (4 blocks)
PICC (3 blocks)
Dec 2017 - Mar 2019
INTEL PRODUCTS VIET NAM
TECHNICAL STAFF
• Maintain and repair Robot arms during Chip testing.
• Check and handle when detecting errors during installation.
• Load BIOS and Debug programs when Motherboard fails.
• Check the operation of the motherboard for the stable Robot.
• Operating machines and providing technical support for Chip electronic components production lines.
• Establishes tactical plans to ensure production schedules are met within established quality and cost objectives.
• Works with engineering teams to solve problems impacting factory operations.
• Understands scheduled and unscheduled equipment maintenance, repair, recovery, troubleshooting, tool quality, and tool run rate. CERTIFICATIONS
• Python Developer for AI
• Deep Learning Foundation
• AI Engineer
LANGUAGES
• English Certificate Aptis ESOL
PROJECTS
Project : Computer Vision
• Name of project : Brain Tumor MRI Classification Using Transfer Learning AlexNet.
• Data Set Description : The purpose of my project is to build Alexnet network for medical image database to classify 4 classes: glioma, meningioma, nontumor,
pituitary.
Training : 5712
Testing : 1321
Image Classification using Convolutional Neural
Networks (CNN):
• Developed an image classification system using CNN algorithms.
• Trained the model on a large dataset of labeled
images and achieved high accuracy in classifying
different objects.
• Implemented the system using Python and popular
computer vision libraries such as Pytorch, TensorFlow and Keras.
Object Detection using Faster R-CNN, YoLo:
• Built an object detection system using the Faster R- CNN algorithm.
• Trained the model on a diverse dataset of images containing various objects and achieved accurate
object detection and localization.
• Implemented the system using Python and utilized frameworks such as TensorFlow and OpenCV.
ADDITIONAL INFORMATION
• Good in self research technical document and
problem solving.
• Able to adapt new working environment quickly.
• Passionate and long-term oriented in the field of AI/ML/DL.
• Able to work independently & team work.
• MS Office Skill.
LIST OF HOBBIES
• Travelling
• Reading books
• Swimming
• Badminton
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