01 / Computer Vision
Training models to understand user interfaces on a human level, moving beyond fragile pixel-matching to genuine contextual awareness.
- Symbols & Icons: Using a Resnet-Transformer architecture to identify UI widgets, making tests resilient to minor design changes.
- Custom Text (OCR): Training a bespoke OCR model to achieve near-perfect text recognition on custom appliance displays.
- UI State Classification: Developing a novel gated NLP-CNN model that understands the screen's context to intelligently navigate the UI.
02 / Natural Language Processing
Leveraging the power of language models to accelerate development and enhance the capabilities of the tools I build.
- The Code Assistant: Fine-tuning a Mistral model on our codebase to generate accurate, context-aware code and accelerate test development.
- GPT Integration (Coming Soon): Exploring the integration of larger GPT models for advanced test case generation and documentation analysis.
03 / Automated Testing
Designing and implementing robust, end-to-end testing strategies that provide actionable feedback and ensure product quality.
- CI/CD Integration (Coming Soon): Integrating the entire testing ecosystem into a Jenkins pipeline for a seamless flow from code commit to hardware validation.
- Diagnostic Reporting (Coming Soon): Creating comprehensive reports with logs, screenshots, and sensor data visualizations to help developers diagnose root causes, not just symptoms.
04 / Framework Architecture
Building the foundational "nervous system" that connects all components, enabling deep, authoritative hardware-in-the-loop testing.
- The "ONE" Framework: A deep dive into the intelligent, AI-powered testing ecosystem I architected from the ground up.