This blog is a reflection of my journey from mathematician to quantitative analyst to software engineer. Here, I document what I’ve learned, focusing on the tools and concepts that define my daily work.

You can expect a mix of topics:

• Python Academy: Deep dives into Python’s internals, data model, and best practices for building robust systems.
• Development Environment: Guides on crafting efficient workflows, with a heavy emphasis on Linux and WSL.
• Quantitative Finance: Insights into risk management, financial modeling, and the application of code to financial problems.
• Code Recipes: Practical, bite-sized solutions and patterns for common programming challenges.

While technical rigor is the goal, I try not to take myself too seriously. So, grab a cup of coffee and join me — whether you’re looking for a specific solution or just exploring.