Hello, I'm Duong Chi Trung

Industry University of Ho Chi Minh City (IUH)

09/2022 - Present | Major: Data Science

GPA: 3.58/4.0 | TOEIC: 695

Received scholarships for academic excellence

AI Engineer

01/2026 - Present | BlueBolt Software, Vietnam

• Designed an end-to-end YOLO-based computer vision pipeline for real-time card corner detection in production environments. Implemented robust dataset validation and augmentation strategies to handle motion blur, glare, noise, and compression artifacts from surveillance stream processing.
• Optimized training and inference across GPU environments (AMP, batch tuning, multi-worker data loading) to ensure stable and efficient deployment. (The practical requirement demands 100\% accuracy in real-world test scenarios under operational constraints.).

AI Research Internship

07/2025 - 11/2025 | National Chung Cheng University, Taiwan

• Excellent project under the guidance of Professor Wen-Nung Lie. In-depth research on single-image 3D Human Mesh Reconstruction using diffusion methods to generate multi-hypothesis, focusing on high-resolution models (over 6,800 vertices) and improving mesh realism through optimizing the prediction of joint, pose, and shape parameters.
• Proposed ScoreNet-X, a new architecture for multi-hypothesis scoring in 3D Human Mesh Reconstruction include 4 main block: Normalization, MeshTokenizer, and a GraphFormer-based backbone, and implementing a Dual-head scoring mechanism for ranking and regression tasks. I conducted extensive experiments on the H36M and 3DPW benchmarks, achieving a 3–4% improvement in MPJPE & MPVE error while reducing model size and computation by more than 80%.

Brain Research Consultants

06/2024 - 07/2025 | Worldquant Brain Co., Vietnam

• In this position, I focus on researching and developing Alphas (models predicting equity market price movements), followed by statistical analysis to assess outcomes through hypothesis testing.
• Employing computer programming to automate repetitive tasks and leverage the capabilities.

Multidimensional Vector Ranking Algorithm for The Group Recommendation System

2025 | International Conference on Computational Collective Intelligence (ICCCI 2025). Published by Springer CCIS.

• Researched and proposed a novel ReLU-based multidimensional vector ranking algorithm for group recommendation systems, enabling data-driven weight inference among users without predefined preferences.

A Deep Learning Model for Drug-Target Interactions Prediction in Drug Discovery

2025 | International Symposium on Information and Communication Technology (SOICT 2025). Published by Springer CCIS.

• Researched and proposed a deep learning model based on LSTM combined with Attention, which is capable of predicting drug-protein binding affinity directly from SMILES and amino acid sequences, outperforming CNN-based baselines such as DeepDTA on the KIBA dataset. Contributing to data-driven drug discovery and virtual screening studies.

• (Team Leader) Encouragement Prize - Vietnam Datathon - Datastorm 2025
• (Team Leader) Top 4 Public Test, Top 12 Private Test - UIT Data Science Challenge 2024
• Google Data Analytics Certificate
• ASEAN Data Science Explorers Certificate
• Merged Alpha Performance 2024, Worldquant Brain Co. - Rank 9 Vietnam, Rank 42 Global
• International QUANT Championship 2024, Worldquant Brain Co. - Top 20% Global
• Administrator & Mentor, AI Club IUH (Data Innovation Lab) - Organized Python course & problem Based Learning for over 250 students

• Python (Data Science, Automation, Scripting)
• SQL
• Machine Learning & Deep Learning (Scikit-learn, PyTorch, TensorFlow), Statistical Modeling
• Data Visualization (Matplotlib, Seaborn, Tableau)
• Financial & Quantitative Analysis (Alpha Design, Market Research)
• Tools: Git, LangGraph, Langchain, Hugging Face, Google Colab