I'm a Senior Quantitative Developer and Cloud Engineer with a unique career path spanning automotive engineering, analytics and financial services. I have built high-performance, scalable systems for risk modelling, emissions optimization, and statistical analysis — always with a focus on automation, testability, and reliability.
- Cloud Architecture – Designed and deployed a cloud native platform for hosting credit risk models at Investec Bank using Azure Container Apps, Azure Function Apps, and Azure SQL.
- CI/CD & DevOps – Built robust Azure DevOps pipelines including unit testing (PyTest), code coverage, vulnerability scanning (Wiz/Dependabot), and deployment automation.
- TDD-First Engineering – Advocate of clean, test-driven development to maintain software quality in lean teams without dedicated QA or BAs.
- Model Deployment – Automated model pipelines across Python and R, with experience in scaling parallelized optimization tasks in both finance and engineering domains.
tech_stack = {
"Languages": ["Python", "SQL", "R", "MATLAB", "Bash"],
"Cloud": ["Container Apps", "Function Apps", "Azure SQL", "Azure Monitor", "DevOps"],
"Data": ["SQLAlchemy", "Pandas", "Pydantic", "FastAPI"],
"DevOps": ["Azure DevOps", "Docker", "GitHub Actions"],
"SDK Development": ["Python package design", "API client libraries", "developer tooling"],
"Testing": ["pytest", "TDD", "code coverage tools", "CI security gates"]
}
- ⚙️ High-performance Python APIs
- 🧰 Python SDK development and developer experience optimization
- 🏗️ Infrastructure as Code (IaC) with Bicep/Terraform
- 📦 Model deployment best practices in regulated environments (IFRS9 & IRB)
- 🔄 Smarter data pipelines and observability for risk systems
- 🤖 AI-assisted code optimization and developer productivity tooling
- 💬 Natural language to SQL interfaces for faster analytical insights and stakeholder interaction
- Architected, built, and tested a cloud-native risk model platform from scratch at Investec Bank. Handling data validation, exception reporting, and high-throughput deployment.
- Automated engine testing on race-grade dynamometers at Prodrive Automotive Technology.
- Built CO₂/NVH optimization platforms using advanced neural networks at Ford Motor Company.
- Technical Translation – Communicate complex quantitative concepts to non-technical stakeholders and regulatory bodies
- Cross-functional Leadership – Led multi-disciplinary teams across engineering, technology and risk integrating with business functions.
- Stakeholder Management – Managed relationships with senior executives and both internal and external auditors.
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📇 You can find me on LinkedIn