I'm a passionate AI engineer dedicated to building intelligent systems that solve real-world problems. With expertise spanning machine learning, natural language processing, and computer vision, I transform complex challenges into elegant, deployable solutions. My work bridges cutting-edge research and practical implementation, ensuring AI systems are both innovative and production-ready.
I specialize in end-to-end AI development from data pipeline design to model deployment with a focus on healthcare and interactive applications. My mission is to create AI that augments human capability and delivers measurable impact.
Core Technologies
Python, PyTorch, TensorFlow
Natural Language Processing
Computer Vision & Deep Learning
Generative AI & LLM Integration
Cloud Deployment (Azure, Docker)
Let's build something remarkable together.
About Me: The Journey into AI Engineering
The Spark
My fascination with AI began during undergraduate coursework when I discovered how machine learning could decode patterns invisible to human intuition. What started as curiosity evolved into a calling to harness AI's potential for healthcare, accessibility, and human-computer interaction.
Core Strengths
I bring a unique blend of analytical rigor and creative problem-solving. My systems thinking approach enables me to architect complete AI solutions, while my commitment to deployment readiness ensures models transition smoothly from research to production environments.
My Philosophy
I believe the best AI engineering balances innovation with pragmatism. By combining research insights with real-world constraints, I create solutions that are both technically sophisticated and genuinely useful. Every project is an opportunity to push boundaries while delivering tangible value.
Technical Skills & Tools
My technical toolkit spans the full AI development lifecycle, from research and experimentation to production deployment and monitoring. I stay current with emerging technologies while maintaining deep expertise in foundational frameworks.
AI & Machine Learning
Deep Learning, Natural Language Processing, Computer Vision, Reinforcement Learning, Generative AI, Transfer Learning
Programming Languages
Python (expert), Java, SQL, JavaScript, R for statistical computing and data analysis
Frameworks & Libraries
TensorFlow, PyTorch, scikit-learn, LangChain, Hugging Face Transformers, OpenCV
Cloud & DevOps
Docker containerization, Azure ML, CI/CD pipelines, MLOps best practices, Git version control
Data & Analytics
Pandas, NumPy, Tableau visualization, ETL pipeline design, data preprocessing and feature engineering
Featured Projects: Demonstrating Real-World AI Impact
These projects showcase my ability to deliver complete AI solutions—from problem definition and model development to deployment and user interface design. Each represents a unique challenge solved with innovative approaches and measurable results.
1
AI Medical Assistant
Developed an NLP-powered chatbot achieving 92% accuracy in symptom analysis and medical query responses. Deployed as a responsive web application with real-time inference, serving 500+ test users. Integrated knowledge retrieval with GPT-based dialogue management.
Built a convolutional neural network achieving 99.2% accuracy in detecting and classifying brain tumors from MRI scans. Implemented data augmentation and transfer learning with ResNet architecture. Created visualization tools for model interpretability.
Technologies: TensorFlow, Keras, OpenCV, Grad-CAM
3
Interactive AI Chess Board
Engineered a multi-modal system combining computer vision for board state recognition with NLP for voice commands. Integrated Stockfish engine with custom UI for human-AI gameplay. Featured real-time position analysis and move suggestions.
Automated healthcare prior authorization workflow using LLMs for document summarization and decision support. Reduced processing time by 75% while maintaining 95% accuracy in extracting critical medical information from unstructured documents.
I architect complete AI solutions that integrate seamlessly with existing systems and user workflows. My approach emphasizes scalability, maintainability, and production readiness from day one.
Data Collection & Preprocessing
Design robust ETL pipelines, implement data validation, and create reproducible preprocessing workflows
Model Development & Training
Build custom architectures, optimize hyperparameters, and implement comprehensive testing strategies
Deployment & Monitoring
Containerize models, establish CI/CD pipelines, and implement monitoring for performance tracking
Integration Excellence
I specialize in connecting AI components with existing business systems through well-designed APIs and microservices. My solutions include comprehensive documentation, unit tests, and user training materials to ensure smooth adoption.
Production-Ready Code
Every project includes proper error handling, logging, and monitoring. I write clean, maintainable code with extensive documentation, making it easy for teams to understand, modify, and extend my work.
Research & Continuous Learning
Advanced Coursework
Completed intensive studies in Reinforcement Learning (Sutton & Barto), Deep Learning Specialization, and Advanced NLP. Focused on both theoretical foundations and practical implementations through hands-on projects.
Ongoing Experiments
Currently exploring multi-agent reinforcement learning systems and neural interface technologies. Maintaining active research notebooks on emerging generative AI techniques and their applications in creative domains.
Knowledge Sharing
Regular contributor to technical blogs and open-source projects. Delivered talks on practical AI deployment strategies and maintain comprehensive Jupyter notebooks demonstrating advanced ML techniques available on GitHub.
Learning Philosophy: I believe in learning by building. Every new concept becomes a mini-project, ensuring I understand not just the theory but the practical challenges of implementation and deployment.
Professional Experience & Internships
1
AI Research Intern · Healthcare Analytics Lab
Developed machine learning models for patient readmission prediction, achieving 87% accuracy. Collaborated with clinical staff to ensure model interpretability and alignment with medical workflows. Presented findings to hospital leadership.
2
Machine Learning Engineer · Tech Startup
Built recommendation system serving 10,000+ users daily. Optimized model inference time by 60% through efficient architecture design. Mentored junior developers on ML best practices and code review processes.
3
Open Source Contributor · Various Projects
Active contributor to scikit-learn and Hugging Face libraries. Submitted bug fixes, feature enhancements, and documentation improvements. Engaged with global developer community through code reviews and technical discussions.
4
Freelance AI Consultant · Multiple Clients
Delivered custom AI solutions for small businesses including computer vision quality control systems and NLP-based customer service automation. Managed full project lifecycle from requirements gathering to deployment and training.
Testimonials & Recommendations
Here's what colleagues, professors, and supervisors have said about working with me:
"Su Phyu demonstrates exceptional technical skills combined with rare clarity in communicating complex AI concepts. Their ability to translate research into production-ready systems is outstanding."
— Dr. Emily Chen, Research Advisor, Computer Science Department
"One of the most talented engineers I've mentored. Su Phyu's systematic approach to problem-solving and commitment to code quality set them apart. A true asset to any AI team."
— Michael Rodriguez, Senior ML Engineer, TechCorp
"Working with Su Phyu was transformative for our project. They delivered beyond expectations, providing not just a solution but comprehensive documentation and training that empowered our team."
— Sarah Thompson, Product Manager, HealthTech Solutions
I'm always excited to discuss new opportunities, collaborate on innovative projects, or connect with fellow AI enthusiasts. Whether you're looking for a talented engineer to join your team, need consulting on an AI initiative, or simply want to chat about the latest in machine learning—I'd love to hear from you.
Let's build the future of AI together. Reach out and let's start a conversation about how we can create intelligent systems that make a real difference.