Ho Chi Minh City University of Technology
2024 - Present
BS in Computer Science
Computer Science and Machine Learning Enthusiast with expertise in Python, Docker, K8s, Finetuning, and Data Visualization
Researcher / Developer
Ho Chi Minh
Jan 2026 - Feb 2026
presentation-aware spoofing detection·Full-time
A lightweight reproduction and analysis inspired by recent work on presentation-aware deepfake / spoofing detection, with a focus on codec-induced presentation mismatch (AMR) under CPU-only constraints. Built a lightweight, CPU-only deepfake/spoofing detector robust to presentation mismatches (e.g. AMR codec). Implemented log-mel + Δ/ΔΔ feature pipeline and evaluated Logistic Regression & MLP baselines. Achieved ~6.8% EER reduction under AMR mismatch using presentation-aware training (29.7% → 22.9%). Reduced MDR@1% FAR from 95.4% to 61.0%, improving security-critical performance. Ensured strict train/test separation across presentation conditions to avoid data leakage.
Data Engineer / ML Developer
Ho Chi Minh
Jun 2025 - Present
data4esgenius system·Full-time
DATA4ESGENIUS builds an open, intelligent platform that evaluates ESG metrics using Big Data, AI, and Machine Learning, delivering clean, accurate data and real-time insights that support sustainable community development. Cleaned and engineered ESG tabular data, transforming raw indicators into standardized, reusable feature sets for ML pipelines. Focused on data quality, consistency, and feature readiness, supporting downstream model training and system integration.