Danh Tran

Introduction

Greetings, I am Tran Pham Cong Danh (Cong-Danh Pham Tran), an AI Engineer with a unique blend of medical expertise and advanced computational proficiency. Holding a Medicine Doctor and a Master of Engineering in Computer Science from Vietnam National University Ho Chi Minh City, I am dedicated to leveraging artificial intelligence to transform healthcare and technology. My expertise spans machine learning, deep learning, and natural language processing, with a focus on creating innovative AI solutions tailored for Vietnamese healthcare contexts. My mission is to bridge medical knowledge and cutting-edge technology, delivering impactful, data-driven solutions that enhance lives.

Basic Information

• Full Name: Tran Pham Cong Danh (Adapted English: Cong-Danh Pham Tran)
• Birth Date: September 29, 1996
• Location: Ho Chi Minh City, Vietnam
• Occupation: AI Engineer
• Summary: An AI Engineer: Embracing AI, Powered by Passion

Contact

• Email: danhtran2mind@gmail.com
• Website: danhtran2mind.github.io
• Profiles:
  • GitHub: danhtran2mind
  • GitLab: danhtran2mind
  • Hugging Face: danhtran2mind
  • X-Twitter: danhtran2mind
  • Facebook: danhtran2mind
  • LinkedIn: danhtran2mind

Education

• Master of Engineering in Computer Science, Ho Chi Minh City University of Technology – Vietnam National University Ho Chi Minh City, HCMC, VN (2022 – 2024). Focused on advanced algorithms, machine learning, and data engineering, providing a robust foundation for developing cutting-edge AI systems.
• Doctor of Medicine in General Medicine, University of Health Sciences – Vietnam National University Ho Chi Minh City, HCMC, VN (2014 – 2020). Acquired comprehensive medical knowledge, enabling the design of AI solutions that address healthcare challenges with precision and empathy.

Certificates

Below are some of my certificates, showcasing my expertise in AI, machine learning, and related fields. For a complete list, visit my certificates page.

• Machine Learning Engineer, DataCamp (November 24, 2024)
  Mastered MLOps, model deployment, and real-world projects, equipping me to build production-ready machine learning systems.

• Associate AI Engineer for Developers, DataCamp (November 19, 2024)
  Learn to integrate AI into apps using OpenAI, Hugging Face, LangChain, and Pinecone. Build chatbots, recommendation systems, and production-ready AI applications.

• Machine Learning with Python, freeCodeCamp (September 30, 2024)
  Built neural networks with TensorFlow, covering NLP, reinforcement learning, and advanced architectures.

• OpenCV Bootcamp, OpenCV (September 29, 2025)
  Free OpenCV course teaches image/video manipulation, object and face detection for AI and deep learning.

• Model Context Protocol: Advanced Topics, Anthropic (September 19, 2025 ) Learn MCP to connect Claude with services: build servers/clients, expose tools, resources, prompts, and create a document‑management system.

• Spark Fundamentals II, Cognitive Class (October 07, 2024) Advanced Spark RDD course covering architecture, caching, and advanced API operations.

Skills

• Programming Languages: Highly skilled in Python, JavaScript, PHP, C++
  Proficient in writing clean, efficient, and scalable code for diverse applications.

• Machine Learning: Master level in Supervised Learning, Unsupervised Learning, Reinforcement Learning, Neural Networks, Deep Learning, Natural Language Processing (NLP), Computer Vision, Audio Processing, Data Preprocessing, Data Visualization, Time Series Analysis, Model Evaluation & Tuning, Feature Engineering
  Deep expertise in designing and optimizing AI models for diverse domains.

• AI/ML Frameworks & Libraries: Highly level in TensorFlow, Keras, PyTorch, Scikit-learn
  Good at building and deploying state-of-the-art machine learning and deep learning models.

• Data Science & Visualization Tools: Normal level in Pandas, NumPy, Matplotlib, Seaborn, Google Colab, Jupyter Notebook
  Adept at data analysis, preprocessing, and creating insightful visualizations.

• Web Development: Normal level in HTML, CSS, Jekyll, Bootstrap, Flask, FastAPI
  Skilled in developing user-friendly web interfaces and APIs for AI-driven applications.

• Cloud Platforms: Normal level in Google Cloud Platform (GCP), AWS, Azure
  Experienced in deploying AI models and managing scalable cloud infrastructure.

• Version Control & Collaboration: Normal level in Git, GitHub, GitLab, Bitbucket
  Proficient in collaborative development and maintaining version-controlled codebases.

• Operating Systems: Normal level in Linux, Windows
  Comfortable across multiple OS environments for development and deployment.

• Databases: Normal level in SQL Language, NoSQL Language, MySQL, MongoDB
  Skilled in designing and querying databases for efficient data management.

• DevOps & Containerization: Normal level in Docker, Kubernetes, CI/CD
  Experienced in containerized deployment and streamlining development pipelines.

• Mathematics & Statistics: Master level in Linear Algebra, Calculus, Probability Theory, Statistical Inference
  Strong mathematical foundation for advanced AI and data science applications.

• Computer Science: Master level in Data Structures, Algorithms, Object-Oriented Programming (OOP), Networking, Cybersecurity, Constraints Programming, BigData Technologies, Data Engineering, Intelligence Systems, Parallel & Distributed Computing
  Comprehensive knowledge for robust and scalable system design.

• Others: Master level in Selenium, BeautifulSoup, Scrapy, Rest APIs
  Proficient in web scraping and API development for data acquisition and integration.

• Soft Skills: Master level in Problem-Solving, Critical Thinking, Communication, Teamwork, Adaptability
  Exceptional interpersonal and analytical skills, fostering collaboration and innovation.

Projects

Below are some of my projects, demonstrating my ability to apply AI to real-world challenges, particularly in healthcare. For a full list, visit my projects page.

• Vietnamese Health Chat LoRA Vietnamese Health Chat LoRA is an advanced conversational AI project designed for healthcare queries in Vietnamese. Utilizing LoRA fine-tuning, it enhances leading language models to deliver precise, contextually relevant medical responses.

• BTCUSDT ML ETL Pipeline This project delivers a robust, cloud-native ETL pipeline for extracting, transforming, and loading BTC-USDT trading data, leveraging industry-leading tools for orchestration, storage, and distributed processing.

• Anime Super Resolution Anime Super Resolution enhances anime-style images using a fine-tuned Real-ESRGAN model, optimized for clarity and detail. Built on the RealESRGAN_x4plus model, it leverages a private dataset of 27,052 high-resolution (1920x1080) anime frames. The project offers tools for data processing, training, inference, and an interactive Gradio demo, accessible on platforms like Colab, Kaggle, and locally.

• SlimFace: Efficient Face Recognition SlimFace is a robust and efficient framework for face recognition, designed to enable developers to build high-accuracy models using transfer learning with pre-trained TorchVision architectures. Optimized for edge devices, SlimFace delivers a scalable solution with minimal computational overhead, supporting custom datasets for tailored applications and providing an interactive interface for seamless inference and testing.

• Grayscale2Color Landscape from scratch Transform grayscale landscape images into vibrant, full-color visuals with this AutoEncoder, U-Net, Transformer models. Built from scratch, this project leverages deep learning to predict color channels (ab in Lab* color space) from grayscale inputs, delivering impressive results with a sleek, minimalist design.

• Text to Video Ghibli Style Transform text into captivating videos with the enchanting aesthetic of Studio Ghibli. This project leverages a fine-tuned zeroscope_v2_576w model to generate high-quality, Ghibli-inspired video content from text prompts. Built upon the foundation of MotionDirector, it includes optimized code and enhanced stability for seamless performance.

• Vietnamese Nutrition GPT-2 finetune The Vietnamese Nutrition GPT-2 Finetune is a language model fine-tuned on Hanoi Medical College’s “Nutrition in Rehabilitation” textbook, based on NlpHUST/gpt2-vietnamese. It provides accurate, Vietnamese-language nutrition guidance through an interactive Gradio interface on HuggingFace, with customizable text generation via a Python API. Ideal for researchers and nutrition enthusiasts.

• Vietnamese F5-TTS Vietnamese F5-TTS (Vi-F5-TTS) is a fine-tuned text-to-speech model for Vietnamese, based on F5-TTS. Using the vin100h-preprocessed-v2 dataset, it generates natural Vietnamese audio for applications like voice assistants and audiobooks, powered by PyTorch, Transformers, and Gradio.

• Vietnamese Whisper Tiny finetuning
  In the dynamic field of automatic speech recognition, Vietnamese audio demands precision and speed. Vi-Whisper-Tiny-finetuning refines OpenAI’s Whisper Tiny model for exceptional Vietnamese transcription. Offering real-time accuracy via Gradio interface and Python API, this lightweight solution enables efficient local deployments, transforming voice-to-text for creators and enterprises alike.

Personal Philosophy

I believe that innovation thrives at the intersection of curiosity, interdisciplinary knowledge, and relentless passion. Artificial intelligence is a powerful catalyst for solving complex, real-world challenges. My approach integrates rigorous scientific inquiry with creative problem-solving, ensuring that every project delivers measurable value and advances the frontiers of AI.

Hobbies and Interests

In my leisure time, I engage in video games like League of Legends, Teamfight Tactics, FC Online, Counter-Strike 2, The Elder Scrolls V: Skyrim, and the GTA series, which enhance my strategic thinking and creativity. I am passionate about sports and fitness, regularly participating in soccer, gym workouts, basketball, volleyball, and tennis to maintain physical and mental agility. Additionally, I pursue intellectual growth through studying psychology, physics, astronomy, and economics, fostering a well-rounded perspective that informs my interdisciplinary approach to AI.