Machine Learning Models
Built for Production
Custom AI for manufacturing, insurance, retail, and healthcare. From prototype to production-ready systems — deployed and supported.
Services
Tiered engagement options to match your needs — from a standalone model to a fully managed production system.
Model Development
1–4 weeks
Custom TensorFlow model built to your specifications and delivered as a ready-to-use model file.
- Collaborative use-case discovery
- Custom TensorFlow model architecture
- Trained and validated model file delivery
- Option for 3 model variants (different datasets or hyperparameters)
- Documentation and usage guide
Model + Deployment
1–2 months
Everything in Model Development, plus a production-ready deployment as a desktop or cloud application.
- Everything in Model Development
- Desktop app (Gradio) or AWS cloud deployment
- SageMaker inference endpoint
- API Gateway + Lambda integration
- Single-page application in S3
Managed Operations
Ongoing (3-month minimum)
Full operational support for your deployed ML system with 24/7 monitoring and on-call response.
- Everything in Model + Deployment
- 24/7 on-call support
- Model performance monitoring
- Retraining and drift detection
- Infrastructure management
Case Studies
Real projects delivered to clients across industries — from edge devices to cloud deployments.
Manufacturing & Predictive Maintenance
Data Preparation for Predictive Maintenance
Developed an LSTM-based predictive maintenance system for manufacturing equipment, tackling the unique data preparation challenges of time-series sensor data — including labeling strategies, window sizing, and handling imbalanced failure events.
Result: Published methodology on InfoQ covering end-to-end data pipeline design for production ML
Construction & Property Inspection
Roofing Material Classification
Built an image classification model to identify asbestos corrugated sheets, clay roof tiles, and roofing slate from photographs. Deployed to AWS EC2 for automated property defect diagnosis in the UK housing market.
Result: 85–99% accuracy across 3 material categories using 992 training images
Automotive & Insurance
Hail Damage Detection
Trained an object detection model to identify hand-marked circles on vehicles for automated hail damage counting. Delivered as a Docker image with Jupyter notebook for interactive analysis.
Result: Automated counting of vehicle dents, reducing manual inspection time
Healthcare & Medical Devices
Medical Instrument Classification
Developed a real-time image classification system deployed on Raspberry Pi hardware for identifying surgical instruments (hemostat clamps, needles, scalpels, sponges) with a Gradio web interface.
Result: Near-perfect accuracy with dedicated hardware processing 2 images/minute
Retail & Consumer Goods
Product Detection for Shelf Analytics
Built an object detection model to identify and count specific consumer products on grocery store shelves, demonstrating automated inventory and planogram compliance monitoring.
Result: Real-time product detection across 3 product classes from 212 annotated images
Sports & Athletics
Swimming Stroke Classification
Created a model to classify swimming strokes (freestyle, breaststroke, backstroke, butterfly) from video frames to assist competitive swim coaching.
Result: 85–99% accuracy trained on 7,400+ images across 4 stroke categories
Energy & Utilities
Utility Pole Transformer Detection
Developed an image classifier to distinguish utility poles containing transformers from those without, reducing manual photo review workload for field inspection teams.
Result: Automated classification of 1,000+ field images into 2 categories
About
Expertise
- LSTM models for manufacturing predictive maintenance
- CNN models with transfer learning for object detection
- AWS cloud architecture (SageMaker, Lambda, API Gateway)
- Streaming data pipelines (Kafka, MQTT)
- Media analysis and computer vision systems
Get in Touch
Tell me about your use case and I'll get back to you within 24 hours.