Hands-on, from architecture to production.

I specialise in Python, FastAPI, Django, PostgreSQL, distributed systems and cloud-native architecture. My work spans technical leadership on transactional platforms, a data pipeline that processed more than 200 million email addresses, and production AI systems built on RAG, agentic workflows, structured extraction and human-in-the-loop review.

I stay hands-on from architecture through deployment and mentoring. Lately that has meant founding and building AI-native products: Pairly, CaseNotes, WDDNG and Fashionly.

What I'm looking for

A Senior Backend Engineer, AI Engineer or hands-on Technical Lead role with real ownership from architecture to production. I'm particularly interested in teams building data-intensive products, workflow automation or applied AI. I do my best work where strong engineering fundamentals, pragmatic leadership, continuous learning and close collaboration between engineering and product are valued.

How I use AI

I use AI daily for research, architecture exploration, code review, debugging, test design, documentation and delivery planning. For larger changes I use scoped agents to inspect codebases, propose plans and check work across API, web and mobile. Humans stay in the loop for product decisions, security-sensitive changes and release approval, and I verify output with tests and the real consumer path.

Education and certifications

• Bachelor of Economics, University of Namibia
• AWS Certified Cloud Practitioner (2021)
• Automation Developer Level III, RoboCorp (2023)