PROJECTS
A selection of practical work exploring AI systems, data platforms, and real-world implementation patterns. These projects focus on how AI behaves in practice, including architecture, integration, and operational considerations.
These projects reflect a broader approach to designing controlled, production-ready AI systems.
Explainable AI: Trust and Transparency with SHAP (Explainability / AI Systems)
Practical implementation of explainable AI using SHAP to improve model transparency.
Simple Neural Network (AI Implementation)
Simple neural network demonstrating core concepts using Python, TensorFlow, and SQL Server.
Text-to-Speech Sentiment Analysis (Proof of Concept)
Proof-of-concept combining text-to-speech with sentiment analysis to explore expressive, AI-driven interactions.
GnoelixiAI Hub Newsletter (Content / Insights)
Ongoing analysis of AI trends, architecture patterns, and real-world applications through my LinkedIn newsletter.