Machine Learning Engineer | Data Scientist | Production AI Systems Builder

📍 London, UK | 🎓 MSc Data Science (Distinction) | 💼 4+ Years Production ML Experience

I'm a passionate ML Engineer who bridges the gap between cutting-edge AI research and real-world production systems. With 4+ years of hands-on experience, I specialize in building robust, scalable AI solutions that solve actual business problems.

What drives me: Creating AI systems that work reliably in production, not just in notebooks.

• Production ML Systems: End-to-end pipelines on AWS & Google Cloud
• Natural Language Processing: LLM fine-tuning, RAG systems, chatbots
• Computer Vision: Defect detection, image processing, real-time inference
• Healthcare AI: Leveraging personal patient experience for better solutions
• Multi-Agent Systems: Building sophisticated AI agent architectures

Multi-agent system built with Google ADK

• Master Agent + Policy Agent + Ticket Agent architecture
• RAG + database hybrid approach with location intelligence
• 15 comprehensive test scenarios covering real-world edge cases
• Production-ready deployment with comprehensive documentation

Tech Stack: Google ADK, ChromaDB, SQLite, Python

RAG-powered chatbot with personalized suggestions

• Combines user basket history with culinary recommendations
• Deployed on Google Vertex AI with automated CI/CD
• Significantly improved user engagement metrics

Tech Stack: LLMs, RAG, Google Cloud, GitLab CI

High-precision computer vision system for manufacturing

• 98% precision in defect detection
• 0.2s inference time per image
• Deployed on factory floor with edge computing optimization
• Reduced manual inspection time by 75%

Tech Stack: TensorFlow, OpenCV, AWS EC2, Docker

skills = {
    "languages": ["Python", "R", "SQL", "C++"],
    "ml_frameworks": ["TensorFlow", "PyTorch", "Scikit-learn"],
    "cloud_platforms": ["AWS", "Google Cloud"],
    "specializations": ["NLP", "Computer Vision", "MLOps", "Healthcare AI"],
    "tools": ["Docker", "Git", "Airflow", "BigQuery"]
}

📈 Building Production-Ready AI Systems: Creating open-source projects that demonstrate real-world AI applications

🎥 Content Creation: Developing tutorial series on building multi-agent systems with Google ADK

🏥 Healthcare AI: Leveraging my unique perspective as both an ML engineer and healthcare patient to build better medical AI solutions

🔬 Research & Innovation: Exploring the intersection of AI and healthcare, particularly in patient experience optimization

🎓 MSc Data Science (Distinction) - Northumbria University, UK
Dissertation: Assessing Wearable/Smartphone Cues for Parkinson's Disease Treatment

🎓 BEng Electrical & Electronic Engineering (2.1) - Ho Chi Minh City University of Technology
Thesis: GANs for Image Super-Resolution

🏆 Key Achievements:

• 98% precision on production defect detection model
• 95% accuracy in competitor price mapping system
• 65% F1-score in personalized treatment prediction
• Successfully deployed ML models processing 1000+ sensors from 1,600+ patients

I'm always interested in discussing:

• Production ML challenges and scalable solutions
• Healthcare AI applications and ethical considerations
• Consulting opportunities for AI system development
• Open-source collaborations on production-ready projects

🔧 Technical Consulting: End-to-end ML system design and implementation
📊 Project Collaboration: Open-source contributions and joint development
🎓 Knowledge Sharing: Workshops on production ML and multi-agent systems

• 🌐 Website: twentytwotensors.co.uk
• 📧 Email: ntg2208@gmail.com
• 💼 LinkedIn: linkedin.com/in/ntg2208
• 🐦 Twitter: @ntg2208

"Building AI systems that work reliably in production and create real value for businesses and society. Every line of code should solve a real problem."

If you find my projects helpful, consider supporting my work:

💡 "The best AI systems are the ones that work reliably when it matters most."