Hello, world

This is the first post on the blog. It exists mostly to prove the pipeline works end to end — Markdown in, static HTML out, deployed to muhammad-ahmed.com/blog.

What I plan to write about #

Mostly the things I spend my days on: applied machine learning, competitive ML on Kaggle, and the unglamorous engineering that surrounds a model once it has to run somewhere other than a notebook.

Code renders like this #

import polars as pl

def load_folds(path: str, n_folds: int = 5) -> pl.DataFrame:
    """Read a training set and attach a deterministic fold index."""
    return (
        pl.read_parquet(path)
        .with_row_index("row_id")
        .with_columns((pl.col("row_id") % n_folds).alias("fold"))
    )

And inline code works too, alongside bold, italics, and links.

Blockquotes are styled with the same accent colour as the portfolio.

That is all for the scaffold.