Cong-Danh Pham 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
• Phone: +84xxxxxxxxx
• Website: https://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 (Nov 24, 2024)
  Mastered MLOps, model deployment, and real-world projects, equipping me to build production-ready machine learning systems. Certificate
• Keras Fundamentals, DataCamp (Nov 25, 2024)
  Developed proficiency in Keras for building and optimizing neural networks to solve real-world challenges. Certificate
• Deep Learning in Python, DataCamp (Nov 29, 2024)
  Gained expertise in PyTorch, constructing advanced deep learning models, including Transformers, for computer vision and NLP applications. Certificate
• Developing Large Language Models, DataCamp (Nov 29, 2024)
  Learned to build and deploy LLMs using PyTorch, transformers, and Hugging Face, from inception to production. Certificate
• Natural Language Processing in Python, DataCamp (Nov 29, 2024)
  Mastered NLP techniques using NLTK, spaCy, scikit-learn, and SpeechRecognition for transcription and sentiment analysis. Certificate
• Machine Learning with Python, freeCodeCamp (Sep 30, 2024)
  Built neural networks with TensorFlow, covering NLP, reinforcement learning, and advanced architectures. Certificate
• PyTorch Bootcamp, OpenCV (Sep 17, 2025)
  Mastered deep learning fundamentals, tensors, neural networks, and object detection using PyTorch. Certificate

Skills

• Programming Languages: Master level in Python, JavaScript, PHP, C++
  Proficient in writing clean, efficient, and scalable code for diverse applications.
• Web Development: Normal level in HTML, CSS, Jekyll, Bootstrap, Flask, FastAPI
  Skilled in developing user-friendly web interfaces and APIs for AI-driven applications.
• AI/ML Frameworks & Libraries: Master level in TensorFlow, Keras, PyTorch, Scikit-learn
  Expert in building and deploying state-of-the-art machine learning and deep learning models.
• Cloud Platforms: Normal level in Google Cloud Platform (GCP), AWS, Azure
  Experienced in deploying AI models and managing scalable cloud infrastructure.
• Data Science & Visualization Tools: Normal level in Pandas, NumPy, Matplotlib, Seaborn, Google Colab, Jupyter Notebook
  Adept at data analysis, preprocessing, and creating insightful visualizations.
• 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.
• 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.
• 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 (2025)
  Developed an AI-powered chatbot using LoRA (Low-Rank Adaptation) to deliver precise, contextually relevant healthcare responses in Vietnamese. Leveraged NLP and deep learning to enhance medical information accessibility, addressing language-specific challenges in Vietnam’s healthcare system. Project
• Medical Image Analysis System (2024)
  Built a deep learning-based system using convolutional neural networks (CNNs) to detect and classify anomalies in X-rays and MRIs. Integrated with TensorFlow and deployed on Google Cloud Platform for scalable, real-time processing.
• Predictive Healthcare Analytics Dashboard (2023)
  Created a Flask-based web application with interactive visualizations using Matplotlib and Seaborn, enabling healthcare providers to predict patient outcomes through time series analysis and feature engineering.
• Vietnamese NLP Model for Sentiment Analysis (2022)
  Developed a transformer-based NLP model with PyTorch for sentiment analysis on Vietnamese text, achieving high accuracy in contextual understanding. Fine-tuned on a custom dataset and integrated into a REST API for real-time applications.

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.