Explore Anzania opens a cinematic journey through the same portfolio.
Selected engineering work
Flagship AI systems, applied technical projects and a documented delivery methodology, with direct links to code and context.
Flagship system
MetaPOS Mind leads the portfolio because it brings together AI system design, data engineering and operational governance.
Role: Primary developer, AI context and governance engineering
A Python and MCP-compatible context system that turns permission-scoped company knowledge into reliable working context for employees and AI assistants.
Selected records
Public repositories show the code behind selected projects; professional work is summarized with client confidentiality intact.
Role: System design and AI-assisted implementation
A local AI-work control plane that compiles bounded, task-specific context and coordinates evidence, provider handoffs and human-approved capabilities without duplicating project data.
Role: System design, validation research and AI-assisted engineering
A production-focused trading research system combining regime-aware strategy selection, stateful optimisation, statistical validation and broker-aware execution controls.
Delivery methodology
A transparent method for combining human direction with AI implementation, independent verification, durable handoffs and repeatable quality gates.
Method ownership: Method owner, product director and release authority
A reusable delivery methodology combining human-owned product direction with AI-assisted implementation, independent verification, durable handoffs and automated quality gates.
Project archive
Earlier work across recommendation, APIs, environmental data and algorithmic trading shows technical range.
A full-stack forex portfolio manager combining live signal workflows, position tracking, risk controls and an analytics dashboard across a Python backend and JavaScript interface.
An interactive recommender application combining collaborative and content-based filtering in a Streamlit interface, with Python and SQL data workflows and AWS deployment.
A Flask REST API that serves an energy-load shortfall regression model, demonstrating the path from trained model to deployable prediction service.
A TensorFlow and VGG16 exploration that visualizes convolutional filters to reveal how learned image features develop across a deep network.
A notebook-led exploration of air-quality sensor data, combining pattern analysis, anomaly detection and clear environmental data visualization.
A community-developed MetaTrader 5 expert advisor for automated forex strategy development, testing and backtesting.
A Python backtesting engine for evaluating forex strategies against historical data before integration with the FxPM portfolio manager.
A MetaTrader expert advisor exploring liquidity sweeps and supply-and-demand zones as inputs to rule-based trading logic.
An early Python and Jupyter experiment connecting OpenAI language models with trading logic to explore AI-assisted market analysis and decision support.
