Mark Asare
I build ML systems that reach production and products that real people actually use.
Built across continents.
Grounded in delivery.
Ghana to Italy, the Netherlands, the US, Canberra, and Brisbane. The path matters less than the pattern: learn fast, adapt, and build things that survive outside drafts and demos.
The fuller story lives on the About page. This version is the short one: international moves, research training, industry delivery, and a bias toward systems that actually get used.
I prefer shipped systems to polished explanations.
Three things I do well.
Looking specifically for an ML, AI, full-stack, AWS, or Azure engineer? I put the end-to-end capability view on a dedicated page.
ML Systems in Production
Training pipelines, model serving on Kubernetes, CI/CD for ML, evaluation gating, monitoring and drift detection.
Generative AI & RAG
RAG pipelines, LLM fine-tuning, Azure AI Foundry, LangChain orchestration, LangSmith observability.
Full-Stack Data Products
End-to-end web applications with production infrastructure and real users, from architecture through deployment and support.
A quick look at what I build.
This page only gives the preview. The Projects route carries the full build stories, stack choices, and live links.
CanHike
A production community platform with payments, editorial workflows, admin tooling, and serverless AWS infrastructure.
GABS Research Consult
A public-facing consulting site built to turn specialist research capability into a credible digital brand.
Cloud Study Apps
Exam-prep apps built around serverless delivery, question workflows, and lightweight product operations.
I also run
& lift weights.
When I'm not building ML systems, I'm either on a trail run around Brisbane or in the gym. Running keeps me sharp — there's something about the discomfort of a long run that makes debugging a production issue feel straightforward by comparison.
Fitness has been consistent across multiple countries and time zones. It's how I maintain focus, think clearly, and stay consistent during complex projects.