📰 Medium · Machine Learning

Everyone’s fine-tuning. Nobody agrees on how. Here’s the honest breakdown of three methods, when each one earns its complexity, and why… Continue reading on Tow

Day 28 is a performance optimization day: profiling the entire stack (FastAPI + Redis + Postgres + ML inference), finding real bottlenecks… Continue reading on

What happens when a deep learning model trained on curated tiles meets an actual 5.5-billion-pixel whole slide image and why the gap… Continue reading on Medium

Recommender systems (also called recommendation systems or RecSys) are information-filtering systems that use data about users, items, and… Continue reading on

The industry is currently obsessed with AI agents. Continue reading on Medium »

Yesterday we split our data three ways and saw the validation set catch a network in the act of memorizing instead of learning. Today we… Continue reading on Me

Apache Kafka has become the de facto standard for real-time data streaming and event-driven architectures. But simply adopting Kafka isn’t… Continue reading on

Retrieval-Augmented Generation is not “put documents in a vector database and call an LLM.” In a regulated enterprise — PHI, PCI… Continue reading on Medium »

Three libraries. Endless possibilities. Here is how to get them installed and understand what each one actually does. Continue reading on Medium »

Multitask learning is all the rage these days, being especially useful and widely adopted in modern ranking systems like ads, search, and… Continue reading on M

How LLMs Are Quietly Transforming Everyday Business Workflows Continue reading on Medium »

Over the past two decades, Agile has fundamentally transformed how organizations build and deliver technology. Continuous delivery… Continue reading on Medium »

This article focuses on the practical use of a cold wallet: we’ll show you step-by-step how to pay for multiple purchases using Bitcoin… Continue reading on Med

As part of my ongoing AI and machine learning journey, I have been continuing with Professor Rama’s deep learning class. Continue reading on Medium »

Not all machine learning models learn in the same way. Some learn from correct answers, others discover hidden patterns on their own, and… Continue reading on M

Todo el mundo repite lo mismo: para que un modelo de lenguaje funcione, necesitas escala. Más parámetros, más datos, más GPUs. Y es verdad… Continue reading on

Learn the difference between MCP and A2A, when to use each, and how they work together in production AI systems. Continue reading on Medium »

Vector RAG burns massive context on blind file searches — here is how deterministic knowledge graphs traverse codebases for 99% less. Continue reading on Medium

A practical framework built on Azure Databricks , applicable to any ML platform. Continue reading on Medium »

The first billing cycle closed today. Here’s what actually happened, what it costs now, and where I moved my workflow. Continue reading on Stackademic »

Machine learning often feels like magic, but underneath the hood, it is pure mathematics and statistics. Continue reading on Medium »

We’ve spent the past two years optimizing prompts, fine-tuning models, building RAG pipelines, and designing AI agents. The next… Continue reading on Medium »

Mean reversion in marketing channels, the diminishing returns curve, and when to trust your model vs. your gut. Why the past is an… Continue reading on Medium »

Moving from stateless LLM interactions to long-horizon autonomous agents has exposed some serious cracks in standard RAG architectures. Continue reading on Medi