Curriculum vitae
Bongo Kosa
AI and data systems engineer
I build governed AI systems and data pipelines that make decisions traceable, testable and accountable to people.
Professional profile
I work at the intersection of data engineering, governed AI and statistically validated decision systems. At MetaPOS, I build retail data workflows and MetaPOS Mind, a permission-aware context system for people and AI assistants.
My independent work includes OmniMind, a local AI-work control plane, and FXPM, a regime-aware trading research and execution system. I separate implemented controls from measured results, and keep human approval explicit where decisions carry risk.
Technical skills
- Core engineering
- Python · SQL · BigQuery / GCP · Data modelling and quality · Permission-aware AI context · Statistical validation
- Regular delivery tools
- Git / GitHub · MCP · JSON Schema · YAML · Docker · Pandas / NumPy · Looker / Power BI
- Additional experience
- R · AWS · Scikit-learn · TensorFlow · Streamlit · Flask · Tableau
Experience
Data Engineering Scientist
MetaPOS
Builds retail data and governed AI-context systems that improve reliability, operational understanding and decision support within a point-of-sale environment.
- Works with Python, SQL and data modelling to support data pipelines and analytics workflows.
- Improves accuracy and efficiency in transaction, inventory and sales-related data processes.
- Primary developer of MetaPOS Mind, a custom MCP-compatible context and governance layer for authorized employees and AI assistants.
Python · SQL · Google Cloud Platform · Data modelling · MCP · JSON Schema · YAML · AI-assistant integration
Learning Specialist
2U / edX
Supported learners across FinTech, AI and Data Visualization bootcamps delivered through multiple university partners under the 2U / edX umbrella.
- Tutored learners across FinTech, AI and Data Visualization programmes, including Git, GitHub, Python and machine-learning topics.
- Answered learner questions on the AskBCS platform and graded work against structured rubrics.
- Helped sustain a supportive learning environment built on clarity, encouragement and technical precision.
Git · GitHub · Python · Machine learning · AI bootcamp support · Data visualization · Assessment