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Emerging AI Engineer with Applied ML Focus

Location:
Long Hoa, Vinh Long, Vietnam
Posted:
June 11, 2026

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Resume:

Lˆe Quang Ph at

081*-***-*** **********@*****.*** github.com/QuangPhat95 Ho Chi Minh City

Education

Industrial University of Ho Chi Minh City Ho Chi Minh City, Vietnam B.Eng. in IoT and Applied Artificial Intelligence — GPA: 3.1/4.0 — TOEIC L/R: 735/990 2021 – 2026 Summary

AI-oriented student majoring in IoT and Applied Artificial Intelligence with a strong interest in Machine Learning, Deep Learning, Chatbot AI, recommendation systems, and applied AI product development. I have hands-on experience in Python, Computer Vision, OCR, face recognition, data processing, model evaluation, and AI-based system integration through academic and personal projects. I am a fast learner with good logical thinking, willing to research new AI technologies, build and evaluate models, and contribute to real AI applications. Technical Skills

Programming Python, C/C++, Java, SQL

AI/ML Machine Learning, Deep Learning basics, neural networks, model training, model evaluation NLP/LLM Chatbot AI basics, prompt engineering, text processing, embeddings, RAG basics, AI agents basics

Computer Vision OpenCV, OCR, face recognition, image processing, object detection basics Data Processing NumPy, Pandas, data cleaning, data preprocessing, data analysis, reporting support Frameworks/Tools Scikit-learn, PyTorch basics, TensorFlow basics, Jupyter Notebook, Google Colab Development Tools Git, GitHub, VS Code, REST API basics Soft Skills Self-learning, research mindset, logical thinking, teamwork, English reading comprehension Experience

IoT Technical Intern 2025

Hoang Bao Quan Technology Co., Ltd. Ho Chi Minh City, Vietnam

• Supported installation, testing, and troubleshooting of IoT-based monitoring and control solutions.

• Assisted in configuring IoT devices, sensors, network connections, and basic automation systems.

• Worked with the technical team to resolve device connectivity, system stability, and deployment issues. Technical Assistant - Network & IoT Systems 2025

Client-based Installations Ho Chi Minh City, Vietnam

• Installed and configured network systems, Wi-Fi infrastructure, cameras, and smart devices for hotels, houses, and offices.

• Designed basic network layouts and selected suitable devices based on customer requirements.

• Set up IoT and automation systems including smart switches, sensors, controllers, and remote monitoring devices. Projects

AI-based Residential Security System Python, OpenCV, OCR, Face Recognition, AI Integration, Web App

• Developed an AI-based security system using license plate recognition and face recognition to support automated access control.

• Processed camera data and recognition results to identify users, vehicles, and access events in real time.

• Built a web-based management application to store and manage user information, vehicle data, access records, and security alerts.

• Integrated AI recognition modules with IoT devices to support automated gate control and real-time notifications.

• Tested and evaluated recognition performance under different input conditions to improve system reliability. AI Vision-based Autonomous Vehicle Python, OpenCV, Computer Vision, Deep Learning Basics

• Developed an autonomous vehicle prototype using camera-based computer vision to detect obstacles and support navigation decisions.

• Implemented image preprocessing and object detection logic using Python and OpenCV.

• Tested model and system behavior under different lighting, object, and movement conditions.

• Improved practical skills in AI model testing, debugging, and real-world computer vision application development. Neural Network Maze Solving Simulation Python, Neural Networks, Simulation, Model Evaluation

• Designed a neural network-based simulation for a multidirectional vehicle navigating a maze environment.

• Used neural network outputs to support movement decision-making instead of relying only on rule-based logic.

• Evaluated model behavior in terms of training time, convergence, decision quality, and resource limitations.

• Analyzed possible improvements in model structure, data generation, and decision logic.



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