Vietnamese CS Intern - Python & ML Enthusiast

Pham Viet Dung Minh

082******* ************@*****.*** Ho Chi Minh, Vietnam

GitHub LinkedIn

Education

Industrial University of Ho Chi Minh City 10/2022 – Present Fourth year Computer Science student

Experience

Python Developer Intern, IDS Software 06/2025 – 9/2025 Part-time, Onsite

• Applied YOLOv5/YOLOv8 for object detection and auto image cropping.

• Developed and deployed a full pipeline for API integration, JSON parsing, and automated video generation using MoviePy.

• Familiar with Pytfhon libraries for CV, API integration, workflow automation. Projects

VisaMadaEasy - Travel Visa Management Platform (GitHub)

• Collected and curated domain-specific data to support visa analysis and chatbot knowledge retrieval.

• Implemented backend logic and RESTful APIs using Flask for visa application workflows.

• Built a Retrieval-Augmented Generation (RAG) pipeline to enhance chatbot accuracy and contextual responses.

• Utilized Gemini API for efficient semantic retrieval and real-time query processing. UIT - DSC 2025 (Data Science Challenge 2025) (GitHub)

• Developed a Vietnamese hallucination-detection system based on the Qwen3-4B model by reconstructing the LM head to better align with the classification objective; integrated LoRA fine-tuning, checkpoint ensembling, and bias calibration to improve macro-F1 performance.

• Combined these techniques to achieve strong generalization and stable performance across evaluation sets; the final system ranked Top 9 in the UIT Data Science Challenge 2025 with a macro–F1 score of 0.8389. Publication

Student Learning Support System Using Retrieval-Augmented Generation Combined with Large Language Models (FAIR 2024)

Phuc-Dang Thi, Le-Nguyen Ngoc, Minh-Pham Viet Dung*, Truong-Chinh Nguyen, Thong-Truong Van, Dat-Do

• Crawled and preprocessed dynamic academic content from institutional websites using Selenium for RAG dataset con- struction.

• Developed a question-answering system to assist students using Retrieval-Augmented Generation (RAG) integrated with Large Language Models (LLMs).

• Designed a multi-embedding retrieval pipeline combining various Vietnamese embedding models (vietnamese-embedding, vietnamese-bi-encoder, sup-SimCSE-VietNamese-phobert-base, vietnamese-sbert) to enhance retrieval accuracy and contextual understanding.

• Applied Maximal Marginal Relevance (MMR) for optimal document selection and implemented a history-aware RAG framework to maintain conversational continuity.

• Evaluated performance using Gemini 1.5 Flash with metrics including Answer Similarity, Retrieval Precision, and Answer Consistency

University Schedule Optimization using Differential Evolution (SRW 2024) Kien-Nguyen Chi, Long-Tran Minh, Minh-Pham Viet Dung*, Thong-Ngo Hong, Truong-Ho Duy, Phuc-Nguyen Huu

• Researched university timetable scheduling using Genetic Algorithms (GA) and metaheuristic optimization.

• Studied the theoretical foundations of Differential Evolution (DE) including mutation, crossover, and selection strategies.

• Implemented a complete DE-based optimization algorithm from scratch for timetable conflict reduction. Integer Linear Programming and Its Real Applications (YSC 2023) Vu-Trinh Nguyen Hoang, Minh-Pham Viet Dung, Ha-Tran Thai, Hoan-Trinh Duong, Minh-Tran Binh, Phuc-Lu Le, Tinh-Nguyen Huu

• Researched and applied the Branch and Bound algorithm to solve complex Integer Linear Programming (ILP) optimiza- tion problems.

• Developed and implemented experimental models using Python to find optimal solutions for real-world scenarios.

• Modeled and solved diverse optimization case studies, including resource allocation (transport problem), material cutting

(cutting stock problem), and project scheduling optimization. Awards & Honors

• Encouragement prize of the 2025 Vietnam Student Artificial Intelligence Olympic in the Southern region (OlpAI’25)

• Participate in the 2022 Vietnam Student Informatics Olympiad(2022)

• Participate in the ICPC 3 Regions Exam in 2022 (2022)

• Teaching Assistant in Train the Trainer – AI Summer Camp (2024)

• Mentor of AI Club, IUH (Python, ML Fundamentals) 2023–2024 Specialized Skills

• Python, Flask, HTML/CSS, C++, Java

• OpenCV, MoviePy, Selenium

• PyTorch, TensorFlow, Scikit-learn

• PostgreSQL, FAISS, Qdrant

• English: TOEIC 575 (Issued 08/2025)

• Git, GitLab

Contact this candidate