Projects

Selected implementation work across energy, commodities, and capital markets

The portfolio is led by the ChemData AI Platform for energy and commodities tooling, supported by the Asset Integrity Engine for industrial systems and the Technical Analytical Project for broader scientific and data-engineering depth.

Precision data pipeline network with analytics interfaces — Pipeline engineering · structured flow · trusted output

Lead platform

ChemData AI Platform

Energy, commodities, and capital-markets tooling: deterministic valuation engines, market-intelligence workflows, compliance-aware retrieval, and Streamlit-based decision-support for scenario testing.

Type-safe fiscal and commercial engines for energy economics.
Multi-agent market intelligence and risk-scrutiny workflows.
Regulatory compliance retrieval grounded in authoritative frameworks.

View code on GitHub

Engineering systems

ChemData Asset Integrity Engine

Industrial and engineering data systems for asset integrity, inspection, reliability, maintenance, and risk-aware technical tooling in infrastructure and processing environments.

Asset integrity workflows and inspection data modelling.
Reliability and maintenance analytics for industrial assets.
Risk-aware engineering tooling built for operational decision-makers.

View code on GitHub

Portfolio depth

Technical Analytical Project

Scientific, analytical, and data-engineering breadth demonstrating structured implementation capability and technical depth across multiple applied domains.

Scientific data validation and molecular visualisation with RDKit and Streamlit.
ETL and relational workflows shaped by domain-aware quality checks.
Production-minded engineering with pytest, SQLAlchemy, and Plotly dashboards.

View code on GitHub

Enterprise

Multinational Retail Data Centralisation

ETL and warehousing logic, schema design, and SQL-driven reporting for operational data that needs to be centralised, trusted, and queryable across multiple sources.

Multi-source ingestion and centralised warehousing design.
Practical SQL analysis for business-oriented insight generation.
Reporting logic built for decision-makers, not just engineers.

View code on GitHub

Scientific

Scientific Data Services Portfolio

Domain-aware systems for chemistry and quality-sensitive records — validation logic, analytical workflows, and AI-assisted interpretation grounded in real laboratory understanding.

Rule-based checks and quality workflows for sensitive records.
Analytical workflow design shaped by chemistry domain expertise.
Supports platform and pipeline discussions in scientific settings.
Foundation of the Scientific Data Accelerator

View code on GitHub

Want this depth applied to your problem?

Every engagement starts from the same standard visible in this project work.

Start the Conversation