Consulting & Custom Development

.NET forecasting and decision systems

Techniques like machine learning or numeric optimization can transform your application. However, selecting the right approach to make effective use of your data can be challenging, and requires experience in fields that are typically unfamilar to software engineering teams. I help teams identify what approaches can be used to address their business needs, what tools are available in the .NET ecosystem, and implement or guide them through buiding reliable data-driven solutions.

Developing maintainable F# code

Writing solutions in F# offers many benefits, but can also be challenging because it uses patterns that can be unfamiliar to development teams. I help teams write effective and maintainable F#, and identify strategies to smoothly integrate F# in existing C# code bases.

Training & Mentoring

I have given presentations and workshops at many conferences over the years, primarily focused on F# development in general, and data science and machine learning in particular. I am available for in-house workshops, training, or personalized mentoring.

About me

Hi there! My name is Mathias Brandewinder. I have been developing .NET solutions for a wide range of industries over the years (retail, manufacturing, life sciences, finance...), initially in C#, but mainly in F# for the past decade.

My original background is in economics and operations research. I am particularly interested in software projects that involve some applied mathematics techniques such as simulation, forecasting, numeric optimization, statistics, or machine learning.

Contact

Email: info@clear-lines.com