From product idea to production software.
I help founders and engineering teams decide what to build, design the system and implement it. My work combines technical ownership with hands-on engineering across Python, AI and data systems. I also help improve existing software that is difficult to operate or change.
Available from January 2027. Let's discuss your plans now.
Experience taking ideas into production
DQC
I lead engineering for an AI-powered data-quality product, helping turn ideas and proofs of concept into production software. My work spans architecture, infrastructure, core features and building the engineering team.
2Xideas
I built data infrastructure and production software for quantitative research, turning research code into tested, maintainable systems in a regulated investment environment.
Where I can help
You need to build a product
Work directly with an engineer who helps define the first useful scope, makes architectural decisions and implements the product. Suitable for founders building their first engineering team.
Your prototype needs to reach users
Close the gaps between a working demo and a product you can deploy, operate and maintain, including tests, access control and monitoring.
Your system needs to work better
Resolve performance and reliability problems, simplify difficult code and improve the workflows your team uses to ship changes safely.
Work directly with me
For a defined project or an ongoing technical partnership. I stay involved in the implementation, with scope and weekly involvement agreed together.
I work remotely and join you on site for workshops, kickoffs or focused implementation weeks, taking an agreed feature from idea to release.
Contact
Projects starting January 2027
Tell me what you're building, where you need help and your timeline.
hello@akanz.deHow I approach the work
What Engineers Contribute When AI Writes the Code
Problem framing, evidence and judgment when agents handle implementation.
From Code Review to Evidence Review
Evaluating runtime evidence and engineering decisions alongside the final diff.
From standard to fallback: the completions API in 2026 and what's next
Designing model routing and gateways as provider APIs diverge.
Getting started with Bifrost: why it's worth knowing about
Running an LLM gateway locally, with routing and governance across providers.
Building the Systems That Produce Software
Context, system access and verification for reliable work with coding agents.
FastAPI's Dependency Injection Makes DB Access Effortless — and That's the Problem
Investigating connection lifetimes, pool exhaustion and backend performance under load.