👋 Hi, I'm Nguyen Tran

Senior Software Engineer | AI/ML Interested | Vibe Coder

With ~10 years of software engineering experience building production-grade systems and hands-on research in AI and Computer Vision, I'm passionate about bridging advanced machine learning techniques with practical real-world applications.

My work on medical image analysis and deep learning has demonstrated the transformative potential of AI, inspiring me to pursue cutting-edge research in machine learning and computer vision. I focus on developing novel deep learning architectures, improving model interpretability, and translating research innovations into scalable, deployable solutions that make meaningful impact across various domains.

• 🏥 Medical AI Research: Developing AI diagnostic systems for pathologic myopia detection using deep learning
• 🔬 Computer Vision: Advanced image segmentation and analysis on fundus images
• ⚡ Production Systems: Building scalable backend systems serving thousands of businesses
• 🤖 AI Integration: Enhancing development workflows with AI-powered tools

🥈 2nd Prize - The 5th Global Orthokeratology - Myopia Control Conference (August 2025)

• Co-authored research: "Artificial Intelligence Model for Detecting Pathologic Myopia and Segmenting Lesions on Fundus Images"
• Presenting at Vietnam Ophthalmology Conference VOS 2025 (November 2025)

Feb 2021 - Present • Remote, Vietnam

• Designing and developing scalable backend systems using Ruby on Rails
• Leading technical research and architectural decision-making for complex distributed systems
• Integrating AI tools into development workflows to enhance code quality and team productivity
• Implementing CI/CD pipelines using GitHub Actions and CircleCI

Nov 2018 - Apr 2020 • Ho Chi Minh City, Vietnam

• Architected full-stack authentication system for Zalo Web Login (millions of daily users)
• Built Java server-side applications using microservices architecture and RESTful APIs
• Designed logging, error-tracking, and statistical analysis systems for monitoring and anomaly detection

May 2017 - Nov 2018 • Ho Chi Minh City, Vietnam

• Developed full-stack web applications using MEAN stack (MongoDB, Express, Angular, Node.js)
• Built scalable backend services with NodeJS and AWS cloud infrastructure

Engineering Degree in Computer Science Ho Chi Minh University of Technology (HCMUT) | 2014 - 2018 GPA: 7.22/10.0

🎯 Contribution Highlights

Merged PRs

Total Repos

Private Projects

AI-Enhanced Development

💻 Key Contributions

• 🏢 Enterprise Development: 500+ PRs in private enterprise repositories (@Thinkei)
• 🔧 Full-Stack Engineering: Ruby on Rails, TypeScript, Python, Java
• 🤖 AI-Powered Development: Leveraging AI agents for code generation, planning, and optimization
• 🌐 Infrastructure: Kubernetes, Docker, AWS, CI/CD pipelines
• 🔬 Research Projects: Medical AI, Computer Vision, Deep Learning

🚀 Recent Activity

• 💼 Employment Hero: Building scalable payroll systems serving 300k+ businesses
• 🏥 HiHorus: AI-powered medical imaging platform for ophthalmology
• 🔬 Research: Pathologic myopia detection using deep learning
• 🛠️ Open Source: Contributing to medical AI and computer vision projects

AI-powered diagnostic system for ophthalmology

• 🔬 Tech Stack: Node.js, React, MongoDB, TensorFlow, PyTorch
• 🎯 Features: OCT image classification, Fundus analysis, Myopia detection
• 🏆 Achievement: 2nd Prize at Global Orthokeratology Conference 2025
• 📊 Impact: Supporting ophthalmologists in early disease detection
• 🤖 AI Integration: Deep learning models for medical image segmentation

Deep learning for retinal disease detection

• 🧠 Models: CNN architectures for multi-class classification
• 📈 Performance: High accuracy in detecting retinal pathologies
• 🔧 Optimization: Model compression and deployment strategies
• 📱 Production: Deployed as REST API with Flask/Waitress

Enterprise-scale payroll and HR platform (Private repositories)

• 🏢 Scale: Serving 300,000+ businesses across 5 countries
• 🔧 Tech Stack: Ruby on Rails, TypeScript, PostgreSQL, Redis, Kubernetes
• 📊 Contributions: 500+ merged PRs across multiple microservices
• 🚀 Key Areas:
  • Payroll processing engine optimization
  • KeyPay integration and sync services
  • Infrastructure automation and monitoring
  • Database migrations and performance tuning
  • API design and implementation

As an early adopter of AI-assisted development, I leverage cutting-edge AI tools to enhance productivity and code quality:

• Code Generation: Using AI agents for boilerplate, test generation, and refactoring
• Architectural Planning: AI-assisted system design and technical decision-making
• Code Review: Automated code analysis and improvement suggestions
• Documentation: AI-powered documentation generation and maintenance
• Problem Solving: Leveraging AI for debugging and optimization strategies

• 70% of recent PRs utilize AI assistance in some capacity
• AI-assisted code completion for rapid prototyping
• AI agents for reasoning about complex architectural decisions
• AI-generated code for repetitive tasks and data transformations

"AI is not replacing developers—it's amplifying our capabilities. I use AI as a collaborative tool to focus on high-level problem-solving while automating routine tasks."

• Deep Learning Architectures: Novel neural network designs for medical imaging
• Computer Vision: Image segmentation, object detection, and medical image analysis
• Healthcare AI: Diagnostic systems and clinical decision support tools
• Model Interpretability: Explainable AI for healthcare applications
• Scalable ML Systems: Deploying ML models in production environments

• English: Professional Working Proficiency (TOEIC: 820)
• Vietnamese: Native

I'm always open to discussing AI research, collaborations, or interesting software engineering challenges!