📝 My Articles
I write about machine learning, data science, and the projects I build, from the technical details to the lessons learned along the way.
📌 RAG Test Maker: Building a Study Assistant Grounded in Your Course Materials
A deep dive into building a retrieval-augmented generation system that generates practice quizzes strictly from course materials, featuring reranking, metadata filtering, and a live web deployment.
📌 Racing Against the Weather? Predicting Strategy Outcomes in Formula 1
A project applying ML models to predict Formula 1 race outcomes, featuring feature engineering, model comparison, and scenario-based simulations built from multi-source telemetry and event data.
📌 Objects Were There All Along: A Step-by-Step Basic Explanation and Practical Examples of OOP
A beginner-friendly dive into Object-Oriented Programming with Python, featuring practical examples, simple code, and even a business valuation tool using classes and methods.
📌 The Intersection of Machine Learning and Causal Inference
The goal of this article is to offer a clear and simple overview of different approaches found for integrating ML with causal analysis. Shared from a learner’s perspective, not an expert’s.