Computer Vision Ai Engineer
Resume:
Tran Quoc Thinh
AI Engineer
Gender: Male
Email: ***********@*****.***
Phone: 084*******
Address: Thu Duc City, Ho Chi Minh City
EDUCATION
**** - **** *****: Computer Vision
VNUHCM - University of Science
GPA: 7.3
SKILLS
Programming Languages
• Proficient in Python, C++
• Familiar with JavaScript, Java
Libraries/Framework
• Web Development: Flask, NodeJS.
• Deep Learning: PyTorch, Keras.
• Database Management: MySQL.
PROJECTS
INTEGRATING VLM INTO PHOTO ALBUM UNDERSTANDING
Description
Developed a system utilizing the CLIP model to automatically segment a photo gallery into distinct albums and identify events for each sub- album. Leveraged CLIP for image feature extraction to cluster photos based on visual similarity.
Objective
Researched and evaluated state-of-the-art Vision-Language Models, with a focus on CLIP, for photo album understanding.
Role Researcher.
LOGO DETECTION AND RECOGNITION
Description
Researched State-of-the-Art solutions for logo detection and recognition, including object detection and object classification. Implemented and re-evaluated various models to compare their accuracy, robustness, and efficiency.
Objective
Gained hands-on experience in training deep learning models for logo detection, and evaluating performance on real-world datasets. Role Researcher.
HAND SIGN NUMBER RECOGNITION
Description
Collected and labeled a custom dataset of hand sign images. Built a hand sign number recognition system using Edge Impulse and deployed it on an ESP32-CAM for real-time inference.
Objective
Developed expertise in embedded AI, dataset collection, and model optimization for deployment on low-power devices. Improved knowledge of Edge Impulse pipeline, TensorFlow Lite, and ESP32- CAM integration for real-time applications.
Role Embedded Engineer.
FACIAL PROCESSING WEBSITE
Description
A website integrating various facial processing tasks, including facial login, face comparison, face detection, spoof detection, and face search, implemented using a microservices architecture for scalability. Objective
Experience integrating well-known computer vision tasks into a website while considering hardware constraints.
Role Fullstack.
Technologies ReactJS, Flask.
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