Eugene Yan
Eugene Yan is a Principal Applied Scientist at Amazon, building AI-powered recommendation systems and experiences. He shares insights on RecSys, LLMs, and applied machine learning, while mentoring and investing in ML startups.
Eugene Yan is a Principal Applied Scientist at Amazon, building AI-powered recommendation systems and experiences. He shares insights on RecSys, LLMs, and applied machine learning, while mentoring and investing in ML startups.
Alejandro AR writes about technology, programming, AI, philosophy, and everyday life. His blog features reflections on software development, team dynamics, AI applications, and creative problem-solving.
Piotr Migdał – Blog of a Data Explorer and Visual Storyteller This is the personal blog of Dr. Piotr Migdał, a technologist and visual storyteller with a strong background in quantum physics, deep learning, and data visualization. He is a founding engineer at Quesma, where he uses AI to turn complex datasets into clear visual insights through ggplot2 charts and Grafana dashboards. His posts combine technology, creativity, and personal reflection. You will find articles about machine learning, interactive data visualization, and projects that bridge science and art. Beyond his technical work, Piotr writes about dance, mindfulness, and the human side of creativity. This blog is a great read for developers, data scientists, and anyone interested in how technology and art can come together to explain the world in a meaningful way.
DanLuu.com is the personal blog of Dan Luu, known for long-form essays that mix systems thinking with careful measurement and clear writing. The topics range from computer latency and input lag, testing versus informal reasoning, and concurrency bugs, to industry pieces on developer compensation and curated lists of programming blogs worth reading. Many posts include data, historical context, and reproducible reasoning, which is why the site is often cited in courses and shared across the developer community. The design is intentionally minimal, which puts all attention on the ideas.