Writing

Keywords

Machine Learning Engineer, Python, PyTorch, LLM, MLOps, Applied ML, Model Evaluation, Probability Calibration, Affective Computing, NLP

Essays and research notes on applied machine learning. For peer-reviewed work, see Publications.

Clustering

A short history of the k-means clustering algorithm, tracing its evolution to more modern optimization.

Business

Engineering

Machine Learning

How probability calibration turns model scores into trustworthy business decisions.

Engineering

Machine Learning

Practical lessons for ML engineers building LLM-powered systems

Affective Computing

A primer on affective computing: definitions, history, and key concepts in emotion and human-machine interaction.