Support the Bridge Between Research and Production AI

Hi there! I’m Jose Esparza, a Senior Software and Machine Learning Engineer currently pursuing my MSc in Computer Science at the University of London.

My work lives at the intersection of advanced academic research and scalable industry solutions. I specialize in architecting complex data pipelines, deploying fine-tuned LLMs, and building robust RAG (Retrieval-Augmented Generation) systems that solve real-world problems.

Why Sponsor My Work?

I am deeply committed to the open-source community, particularly within the Julia ecosystem. Your sponsorship allows me to dedicate more time to developing and maintaining high-performance tools that empower researchers and developers alike.

Currently, I am actively working on:

• MichiBoost.jl: A pure Julia gradient boosting library featuring native categorical feature handling and symmetric decision trees.
• MLJ.jl: Contributing to this essential Julia machine learning framework to make high-level ML more accessible.
• DearDiary.jl: Developing an experiment tracking tool specifically designed for Julia-based ML workflows.

The Impact of Your Support

Sponsorship helps cover the costs of research materials, infrastructure for testing large models, and the time required to maintain these libraries. Whether you are a fellow developer, a researcher, or someone who believes in the power of open-source AI, your support helps me keep these projects free, fast, and feature-rich for everyone.