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.
Swizec Teller is a software engineer, speaker, and educator sharing lessons from his journey from junior developer to Silicon Valley. He writes about engineering skills, career growth, mindset, and practical tactics for succeeding in tech.
Liran Tal is an AI security researcher and Node.js security expert focusing on securing agentic AI workflows, MCP, and software supply chains through research, education, and open-source work.
Phil Eaton is a staff engineer working on Postgres and software internals, sharing insights on databases, systems engineering, and life deep in the software stack.