FOSS for Enterprise
Managing open-source software in enterprise environments — licensing models, compliance requirements, security risks, and mitigation tools.
Presentations
Slide decks on software engineering practices, R programming, and navigating the academia-to-industry transition.
Language-Agnostic SWE
Parse, Don't Pray
Why and how to validate data at system boundaries using libraries like Pydantic and Zod for type safety, security, and clearer errors.
Dealing with the Second Hardest Thing in Computer Science
Practical strategies for naming things well in code — common pitfalls to avoid, actionable naming conventions, and tools to enforce them.
To Comment or Not To Comment
When code comments help, when they hurt, and how to write documentation that ages well.
R Programming
DRY R Package Development
Techniques for reducing redundancy and keeping R packages maintainable at scale.
Introduction to {ggstatsplot}: Informative Statistical Visualisations
How to create publication-ready plots with embedded statistical details using ggstatsplot.
Introduction to Snapshot Testing in R
A practical guide to using snapshot tests for robust R package quality assurance.
Preventive R Package Care
Automating preventive checks — documentation, exception handling, portability, code quality, and dependency management — via CI workflows.
Career Advice
From Academia to Industry
A practical roadmap for researchers transitioning to industry — self-assessment, skill translation, networking, and application strategy.