CV

My current resume as an AI engineer/AI researcher.

Contact Information

Name Pham Thanh Trung
Professional Title AI Researcher / Engineer
Email phmtrung2@gmail.com
Phone +84-845604327
Location Yongin, Gyeonggi-do

Professional Summary

A product-oriented engineer with a strong ability to research AI (ML/DL), robust model training skills, and a visionary architecture design mindset. Excelled at designing, orchestrating, and implementing best-fit AI approaches to deliver production-ready solutions. Practical and highly experienced at conducting technical research to overcome development bottlenecks without trading off the delivery schedule.

Experience

  • 2025 - Present

    Yongin City, Korea

    AI Researcher - PhD student
    Kyunghee University
    • Research on quantum computing and multi-modal LLMs for advanced AI applications.
    • Reduced VGG19 classification parameters from 3 million to 150 quantum parameters with a 0.025 improvement in image classification accuracy.
  • 2024 - 2025

    Ho Chi Minh City, Vietnam

    Artificial Intelligence Engineer (Mid-level)
    IMT Solutions
    • Built LLM, MLOps, computer vision, and agentic AI systems for enterprise clients.
    • Delivered an agentic KIE system with 94% peak accuracy and over 90% operational accuracy while reducing inference cost by more than 40%.
    • Automated scanned PDF to DITA conversion, reducing digitization from weeks to 6-16 minutes per document.
    • Improved machine translation BLEU score from 0.74/0.68 to 0.93 using multi-agent NLLB + Wikidata pipelines.
    • Designed scalable AI architectures and coordinated implementation tasks.
  • 2022 - 2023

    Ho Chi Minh City, Vietnam

    Artificial Intelligence Research Intern
    GMO-Z.com RUNSYSTEM Joint Stock Company
    • Proposed Fourier transform approaches for deepfake and anti-spoofing classification, improving F1 score from 0.86 to 0.91.

Education

  • 2025 - Present

    Yongin, Republic of Korea

    PhD combined program
    Kyunghee University Global Campus
    Artificial Intelligence
  • 2020 - 2023

    Ho Chi Minh City, Vietnam

    Bachelor
    FPT University Ho Chi Minh City
    Artificial Intelligence
    • Excellent graduate thesis (graded 9.2/10)

Projects

  • Key Information Extraction from Documents
    2024-05 – 2025-02

    Team leader and main contributor.

    • Applied multi-modal LLMs to extract invoice numbers, prices, and item names.
    • Built an Azure Document Intelligence extraction system with CI/CD and layout recognition and labeling workflows.
    • Reverse-engineered Azure custom model services and added few-shot layout classification and multi-agent processing pipelines.
    • Stack: Azure Document Intelligence, LangChain, FastAPI, PyTorch, Hugging Face, Transformers/TGI, Qdrant, Gemini API, OpenAI API, Azure Pipelines, Docker.
  • Pali ancient language of the Buddhism Tipitaka machine translator
    2023-02 – 2025-09

    Personal project.

    • Mined and curated 120K Pali-English parallel sentence pairs using LaBSE and LASER.
    • Fine-tuned NLLB-200 (1.3B and 3B) and BGE-M3 for Pali-Vietnamese-English tasks.
    • Improved BLEU score from 0.5542 to 0.7837 and deployed optimized models.
    • Stack: PyTorch, FastAPI, Hugging Face TGI/Transformers, wandb, Docker, LASER, BGE-M3, LangChain, FAISS.
  • Research on LLMs to enhance domain-driven neural machine translation
    2024-01 – 2025-02

    Team leader and main contributor.

    • Integrated RAG, chain-of-thought, and multi-agent systems to boost translation without retraining at deployment.
    • Fine-tuned NLLB on domain-specific datasets and expanded the dataset by 60% using automated data mining.
    • Stack: FastAPI, Gradio, NLLB, Hugging Face Transformers, LangChain.
  • Medical vision Q&A LLM system
    2025-02 – 2025-03

    Personal project.

    • Fine-tuned InternVL2.5 on VQA-RAD and built a ChatGPT-style UI with auth and attachments.
    • Built and deployed LLM serving APIs, microservices, and database-backed backend.
    • Stack: FastAPI, Hugging Face TGI/Transformers, SQLAlchemy, PyTorch, Streamlit.
  • Quantum machine learning research
    2025-02 – Present

    Main researcher.

    • Investigated applying quantum computing capabilities to AI and ML.
    • Implemented and optimized hybrid quantum-classical deep learning architectures.
    • Stack: Pytorch, PennyLane.
  • Fortune telling chatbot
    2025-09 – 2025-10

    Personal project.

    • Designed a multi-modal RAG knowledge ingestion pipeline to fetch contextual knowledge tailored to user story and persona.
    • Built a generalized AI framework for tarot, numerology, astrology, and similar domains without domain-specific fine-tuning.
    • Implemented LLM serving APIs, knowledge databases, ingestion services, user databases, and authentication service.
    • Built a basic chat interface for end users and CI/CD deployment.
    • Stack: FastAPI, Hugging Face TGI, OpenAI APIs, Gemini APIs, Qdrant, SQLAlchemy, Pytorch, Gradio.
  • Automated scanned PDF to DITA converter with generative AI
    2024-01 – 2025-02

    Team leader, main contributor.

    • Researched multi-modal language models to convert scanned PDF manuals into structured DITA format.
    • Implemented a multi-agent system to improve extraction accuracy.
    • Stack: FastAPI, Pytorch, Gemini API, OpenAI API, LangChain.
  • Employee training chatbot system
    2024-02 – 2025-05

    Main contributor.

    • Implemented a document ingestion system using multi-modal LLMs to structure internal training documents in a vector database.
    • Built an RAG chatbot with self-hosted LLMs for internal policy Q and A and automatic ingestion of policy updates.
    • Stack: FastAPI, Qdrant, Streamlit, Docker.
  • Vitexco Exemplar-based Video Colorization using Vision Transformer
    2023-01 – 2023-08
    • Applied vision transformers for video colorization with reference images while maintaining temporal color consistency across frames.
    • Created large-scale video datasets for training.
    • Conducted training experiments to optimize model architecture and performance.
    • Set up training servers and monitored model parameters.
  • eKYC modules development
    2022-11 – 2023-02

    Researcher, developer.

    • Created and curated large-scale datasets for training eKYC modules.
    • Designed and applied deep learning architectures to solve eKYC challenges.
    • Stack: Pytorch, TensorFlow, OpenCV, MediaPipe, PyVista.
  • Cosmetic products recommender system based on facial skin images
    2023-02 – 2023-02

    Team leader, main contributor.

    • Built DL submodules for acne detection and classification and skin moisture regression.
    • Created, preprocessed, and augmented facial skin image datasets.
    • Quantized models, re-implemented interfaces, and converted models to ONNX for deployment.
    • Developed a Flutter mobile app and deployed AI APIs and databases.
    • Stack: FastAPI, Flutter, Google Cloud Platform, YOLOv8.
  • 3D reconstruction with deep learning
    2022-07 – 2022-07

    Team member.

    • Built deep-learning 3D reconstruction for environment virtualization and single-camera motion capture.
    • Implemented facial and body motion capture, blendshape inference, and motion retargeting modules.
    • Created large-scale 3D datasets for blendshape inference training.
    • Stack: Pytorch, TensorFlow, Unreal Engine 4 MetaHuman, Blender.
  • Solving eight-queens problem with genetic algorithm
    2017-08 – 2017-08

    Personal project.

    • Implemented a custom genetic algorithm framework in Pascal.

Skills

MLOps and Agentic AI: LangChain, FastAPI, vLLM, Hugging Face TGI, Docker, Azure Pipelines, Weights & Biases
ML/DL Frameworks: PyTorch, TensorFlow/Keras, ONNX
Core AI Architectures: Transformers, CNNs, RNNs, Generative Models, Reinforcement Learning
Quantum Computing: PennyLane, TorchQuantum
Cloud and HPC Management: GPU servers (H200, H100, A100, A6000), Azure AI services
Programming Languages: Python, C/C++, Java, SQL, JavaScript, ReactJS, HTML/CSS

Publications

Achievements

  • 100% Scholarship at Kyunghee University for PhD combined program.
  • Champion prize, FPT Edu Research Festival finale 2023.
  • 100% Scholarship at FPT University HCM.
  • Third prize, FPT Education Mathematics Olympic 2021.
  • Silver medal, Traditional Olympic 30/4 Contest 2018 (informatics).