AI & Machine Learning Consultant, London
Enterprise AI development, LLM integration, and computer vision solutions. Delivering production-ready ML systems for UK businesses.
Machine Learning Services
End-to-end AI consulting from strategy to production deployment
LLM Fine-tuning & RAG Systems
Custom large language model development and retrieval-augmented generation systems. Multi-agent architectures with grounded, low-latency responses. Enterprise chatbots, document processing, and knowledge management solutions.
Computer Vision Development
Image recognition and video analytics for manufacturing and retail. Defect detection systems achieving 98% precision at 0.2-second inference. Object detection, visual inspection, and quality control automation.
MLOps & Pipeline Development
Production ML infrastructure on Google Cloud Platform and AWS. Automated training pipelines with Vertex AI, Apache Airflow, and CI/CD integration. Model deployment, monitoring, and continuous retraining workflows.
Predictive Analytics & Recommendations
Data-driven decision making through predictive modelling and recommendation engines. Customer segmentation, demand forecasting, and personalisation systems with 92% precision driving measurable business growth.
AI Strategy & Consulting
Strategic AI roadmaps aligned with business objectives. Opportunity assessment, technical feasibility analysis, and implementation planning. ROI-focused consulting with clear milestones and deliverables.
Healthcare & Medical AI
Clinical AI applications with regulatory compliance. GCP-certified with research experience in Parkinson's disease treatment prediction. Medical data analysis, clinical decision support, and healthcare automation.
Case Studies & Projects
Production AI deployments across manufacturing, retail, and healthcare
Multi-Agent Customer Support System
Personal project | Open source
A full, working multi-agent support agent using Google Gemini — a Policy Agent (RAG) and a tool-using Ticket Agent — built end to end for a fictional company to show the architecture.
- Master + Policy (RAG) + Ticket (tool-using) agents
- Evaluated with 15 scenarios and an LLM-as-a-judge
- Open source, with an 8-part write-up
- Also rebuilt in LangGraph
Fashion Recommendation System
Seedcom R&D | Nov 2020 - Oct 2024
Led team of 3 engineers to build computer vision solution for fashion retail using RetinaNet and OpenCV.
- 92% average precision in outfit detection
- Led cross-functional team of 3 engineers
- Increased customer click-rate and cross-sell
- Deployed across web and mobile platforms
Semiconductor Defect Detection
Emage Development | Jul 2019 - Jul 2020
Production-ready defect detection system for semiconductor manufacturing quality control.
- 98% precision in defect identification
- 0.2-second inspection time per image
- Real-time factory floor deployment
- Complete ML workflow with WPF application
Vietnamese Recipe Chatbot with RAG
Seedcom R&D | Nov 2020 - Oct 2024
Intelligent chatbot using Retrieval-Augmented Generation with Google Gemini for personalized recipe recommendations.
- RAG system with customer basket history
- Personalized culinary suggestions
- Enhanced user engagement metrics
- FastAPI deployment for high-throughput
ML Pipelines on Google Vertex AI
Seedcom R&D | Nov 2020 - Oct 2024
End-to-end automated ML pipelines for competitor price mapping and product recommendations.
- CI/CD with GitLab CI and Airflow
- Comprehensive monitoring and deployment
- Scalable production infrastructure
- Real-time analytics integration
Parkinson's Disease Treatment Research
Northumbria University | Jan 2023 - Jul 2023
Predictive ML models for evaluating wearable/smartphone cues effectiveness in Parkinson's drooling treatment.
- 65% F1-score in treatment schedule prediction
- Deployed on AWS SageMaker
- Clinical data analysis and visualization
- Research contribution to medical science
About twentytwotensors
I'm Truong Giang Nguyen, founder of twentytwotensors — a London-based AI and machine learning consultancy. I have an MSc in Data Science (Distinction) and 5+ years building production ML: a semiconductor defect-detection system running at 98% precision and 0.2s an image, and a fashion recommendation engine at 92% precision, where I led a team of three.
My technical expertise spans natural language processing, computer vision, and cloud-native ML infrastructure. I've delivered solutions across manufacturing, retail, and healthcare — from enterprise LLM integration to real-time defect detection systems.
I bring end-to-end capability: data engineering, model development, deployment, and ongoing optimisation on GCP and AWS platforms.
Academic & Industry Experience
MSc Data Science (Distinction) combined with 5+ years deploying production ML systems across enterprise environments
UK-Based Consultant
London-based for on-site collaboration. Full understanding of UK data protection, GDPR compliance, and business requirements
Production-Proven Results
Documented outcomes: 98% model accuracy and 92% recommendation precision in live systems
End-to-End ML Delivery
Complete machine learning lifecycle: data engineering, model development, cloud deployment, monitoring, and maintenance
Latest from the Blog
Technical insights on AI/ML engineering and deployment
What does a factory's electricity actually cost?
A data project: estimate a GB factory's day-ahead wholesale electricity exposure (~10.8 p/kWh), then prove it against what actually traded — within 0.5%. On scoping, honest uncertainty, and validation.
Read more → June 2026A leakage-free fraud feature store, built with dbt
Turning raw card-payment tables into a feature store for fraud models on dbt and BigQuery — with one rule that matters: a feature can only ever see data from before the transaction it describes.
Read more → June 2026MedGemma CKD: building a clinical RAG assistant three ways
Why I built the same chronic-kidney-disease assistant at three levels — simple, agentic, multi-agent — and the shared foundation underneath. Part 1 of the MedGemma CKD series.
Read more → June 2026Evaluating a clinical RAG — the honest results
RAGAS, a retriever comparison, and middling scores I'm not going to dress up. Why retrieval over dense clinical text is the hard part. Part 6 of the MedGemma CKD series.
Read more → June 2026I built a system to run my life around a chronic illness
A working app I built for myself — it logs my treatments, reads my own blood-test trends, and answers questions with an AI assistant. The start of a build-in-public series.
Read more → June 2026Treating at home saves the NHS thousands a year
The cost case for treating a chronic illness at home: ~£9–12k saved per patient per year, an NHS target the country is missing, and why better software closes the gap.
Read more → June 2026An AI assistant that reads my actual health data
A function-calling assistant whose system prompt is rebuilt every turn from my live data, with symptom-driven retrieval and voice input. A reusable pattern for AI over your own data.
Read more → June 2026The readiness score: what I'm building next
The honest roadmap: a live body-data foundation, the daily readiness score I'm building on top of it, and why the pattern fits any fluctuating-capacity condition.
Read more → June 2026ADK vs LangGraph: one AI support system, two frameworks
I built the same production customer-support agent twice — on Google ADK and on LangGraph. Same model and data; only the orchestration changed. What differs, and how to choose.
Read more → August 2024I built a customer support agent as a team, not one bot
One coordinator, two specialists, and why I didn't build it as one big agent. The architecture the rest of the series sits on.
Read more → December 2024Computer Vision in Manufacturing
How computer vision is transforming quality control and defect detection in manufacturing.
Read more → December 2024MLOps Best Practices
Essential MLOps patterns for deploying and maintaining ML systems in production.
Read more →Start Your AI Project
Ready to explore how machine learning can transform your business? Schedule a free consultation to discuss your requirements, technical approach, and project scope.
- contact@twentytwotensors.co.uk
- +44 79 0403 5063
- London, United Kingdom
- Response within 24 hours