Professional Overview
With a strong foundation in Artificial Intelligence, Machine Learning, and Data Science, I specialize in building deep learning models, computer vision applications, and NLP systems. Currently pursuing a degree in Data Science, I have hands-on experience with transformer-based architectures, multimodal models, and AI-powered solutions for real-world problems. I was a top 18 finalist in the UIT Data Science Challenge 2024, where I led the WSE College Assistant project. Beyond academic projects, I have worked on EEG signal classification, OCR text normalization, and event-based eye tracking challenges using state-of-the-art deep learning techniques. My expertise includes data preprocessing, feature engineering, and optimizing models for high performance. I am passionate about AI applications in digital marketing, particularly in automated content creation, advertising, and AI-driven insights. Always eager to learn and innovate, I strive to push the boundaries of AI technology to create impactful solutions.
Areas of Expertise
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
