Python & Machine Learning Development
adagger builds production-ready Python backends, Django applications, and machine learning systems. Over 10 years of hands-on engineering experience, delivered with clarity and precision.
10+
Years of experience
Delivering Python and ML projects since 2013 across Europe and beyond.
6
Core service areas
Python, Django, DevOps, Machine Learning, ML Deployment, and MVP Development.
100%
Python-focused
Deep specialisation across the entire Python and ML ecosystem.
What We Do
End-to-end software solutions built on Python and modern ML tooling.
Python Development
Scalable APIs, microservices, and data pipelines built with clean, well-tested Python. From greenfield projects to modernising legacy systems.
Machine Learning
End-to-end ML solutions, from data preparation and model training through to production deployment and monitoring.
DevOps Consulting
CI/CD pipelines, Docker and Kubernetes infrastructure, and infrastructure-as-code. Ship faster with fewer production incidents.
Technologies
Our core technology stack, spanning backend, infrastructure, and AI.
Latest Insights
Practical articles on Python, machine learning, and software engineering.
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Why ML Projects Fail in Production and How to Prevent It
Most machine learning projects never reach production. Of those that do, many are quietly shut down within months. This article examines the most common reasons ML deployments fail and what engineering teams can do to prevent it.
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Creating Sound Detection Applications using AI and Machine Learning
Sound detection, also known as acoustic event detection, is a powerful technique that uses machine learning and AI to identify specific types of sounds within audio streams. From detecting alarms and gunshots to identifying engine sounds in traffic footage, sound detection applications are increasingly common in smart cities, surveillance, and safety systems.
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Convert Your Django Website into a CMS for Easy Content Editing and Publishing
Django is a powerful and flexible web framework that enables developers to build robust and scalable web applications. However, one of its limitations lies in content editing and publishing. By default, Django websites require technical expertise to modify content, update menus, or adjust page structures. This can make content management cumbersome for non-technical users.
Ready to start your project?
Every successful project begins with a conversation. Tell us what you need and we will outline how adagger can help.