Asp AI Engineer - ML/NLP Practitioner

Trịnh Tấn Hào

INTERN AI

081******* ***********@*****.*** https://github.com/trinhtanhao0225 Thủ Đức, Hồ Chí Minh OBJECTIVE

With a strong passion for technology and a continuous drive to learn, I aspire to become an AI Engineer. I am eager to contribute to innovative projects that develop impactful, cutting-edge solutions. EDUCATION

HCMC University of Technoology and Engineering 2022 - 2026 Artificial Intelligence Engineer

GPA : 8.47/10

WORK EXPERIENCE

NATIONAL TAIWAN UNIVERSITY 3/2025 - Today

Intern AI

• Developed a real-time voice synthesis system, focusing on end-to-end speech generation pipelines

• Trained and fine-tuned machine learning models for speech processing tasks

• Analyzed and optimized system latency to ensure efficient real-time performance

• Implemented and improved model quantization techniques to enhance inference efficiency

• Modified model architecture at the layer level to improve performance and stability

• Designed and refined data preprocessing pipelines for better model input quality

• Wrote technical reports documenting experiments, system design, and performance evaluation

• Collaborated on codebase optimization and contributed to improving overall system efficiency PROJECT

Health Q&A Support Application 6/2025 - Today

Project Member

GitHub: https://github.com/trinhtanhao0225/TLCN_healthyApp Team size: 2

Technologies: FastAPI, MongoDB, React

Description

• Designed and built the database system for storing health-related data

• Implemented data retrieval and a Retrieval-Augmented Generation (RAG) pipeline for personalized responses

• Developed a food search and detection feature to support dietary recommendations

• Built and implemented the user interface using React Detect emotion,gender 8/2025 - 9/2025

Personal Project

GitHub: trinhtanhao0225/Project-detect-emotion-face Team size: 1

Technologies: Pytorch, yolo, Resnet

Description

• Built and trained deep learning models using PyTorch for emotion classification

• Applied YOLO for face detection and localization

• Utilized ResNet architecture for feature extraction and emotion recognition

• Processed and analyzed image data to improve model accuracy OCR 2/2026 - 3/2026

Personal Project

GitHub: trinhtanhao0225/OCR

Team size: 1

Technologies: Pytorch, yolo

Description

• Developed an end-to-end OCR system to automatically detect and transcribe text from images

• Built a two-stage pipeline combining YOLOv8 for text detection and CRNN for text recognition

• Prepared and processed datasets for both detection (YOLO format) and recognition (cropped text with labels)

• Trained and evaluated deep learning models to improve text localization and transcription accuracy TECHNICAL SKILLS

Programming Languages Python, C#, C++, Java

Language Vietnamese, English (710 TOEIC)

Machine Learning & Deep

Learning

Supervised/Unsupervised Learning, Neural Networks, Model Training & Evaluation Frameworks & Libraries PyTorch, TensorFlow, Scikit-learn HuggingFace Transformers, LangChain, LangGraph

Data & Pipeline Data Preprocessing, Feature Engineering, Data Pipelines Model Optimization Quantization, Latency Optimization, Model Fine-tuning MLOps & Deployment CI/CD basics, Model Deployment

Cloud Platforms: AWS, GCP, Azure

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