Cao Duc Trung

Ho Chi Minh City

096******* ad46so@r.postjobfree.com www.linkedin.com/in/caoductrung HCMC University of Education - Information Technology Major 2021 - 2025 Machine learning of Standford University on Coursera 2022 Deep Learning Specialization on Coursera 2023

TensorFlow Developer Professional Certificate on Coursera 2023 Programing languages Python, Machine Learning, Deep Learning (Computer Vision, NLP), Data Mining(Recommender System), Data Analyst (Power BI, Tableau) Deployment (Git (GitHub, GitLab), API (FastAPI, Flask API). I used Docker for project builds and pushing them to Docker Hub. Finally, I deployed theprojects to Render or Python Framework cloud.

Databases I have a foundational knowledge of SQL, MySQL, Vector Database Microsoft Tool Word, Excel, Powerpoint

Languages Vietnamese, English.

An explainable deep learning model for Crop disease detection - AI Engineer 12./2023 - 4/2024 OCR for Passport and ID card - AI Engineer 10/2013 - 12/2023 Developing an algorithm to help teacher assess learner feedback - AI Engineer 12/2022 - 4/2023 MindX Technology School - Programming Teacher 8/2022 - Present Kien Long Bank - AI Engineer Intern 09/2023 - 12/2023 EDUCATION

I am about to be a third-year student, majoring in Computer Science at my university. Currently, myGPA for the courses is 3.0/4. CERTIFICATE

SKILLS

PROJECTS

Overview: Building a fine-tuned model based on the famous CNN architecture for the task of classifying plant diseases. Apply the model explanation method (XAI). The project won the consolation prize in the scientific research competition at the Faculty of Information Technology, Ho Chi Minh City University of Education. Techstacks: Python, Tensorflow, Pytorch, Deep Learning, eXplainable AI methods, FastAPI, Docker. Team size: 2 member (leader)

Overview: The project aims to extract customer information from ID cards and passports for banking purposes. It consistsof three main modules: image recognition, information extraction, and text conversion. I developed input-outputAPIs using FastAPI for deployment into a service.

Techstacks: Python, Pytorch (The Python Framework), Deep Learning, FastAPI, Docker Team size: 1 member

Overview: Constructed a fine-tuned model based on the renowned CNN architecture for the facial emotion recognition task.The data used is FER2013, which has been relabeled and poor-quality images removed, grouped according tothe learner's interest level for training. The model achieved 78% accuracy on the private test set. The project awarded second place in the scientific research competition at the Information Technology Department of HoChi Minh City University of Education. Techstacks: Python, Tensorflow, Deep Learning, FastAPI, Docker Team size: 5 member (leader)

EXPERIENCES

- Taught programming courses (Scratch, Game, Web Development, Computer Science) for 100+ Kid/Teens fromage 7 to 18.

- Mentored (data analyst) individuals aged 18+ such as undergraduates or those looking to transition into thedata analyst field. Data collection, Data Preprocessing, model building, and training deep learning models for an OCR task toextract information from customer passport and ID card images for banking account creation.