Philipp Schmid
Philipp Schmid is a Staff Engineer at Google DeepMind, building AI Developer Experience and DevRel initiatives. He specializes in LLMs, RLHF, and making advanced AI accessible to developers worldwide.
Philipp Schmid is a Staff Engineer at Google DeepMind, building AI Developer Experience and DevRel initiatives. He specializes in LLMs, RLHF, and making advanced AI accessible to developers worldwide.
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.
Jeremy Howard leads Answer.AI, an AI R&D lab building practical applications from cutting-edge research. He focuses on AI, open-source tools, and educational platforms to help developers and researchers solve real-world problems efficiently.
Yoel Zeldes is an algorithm engineer at AI21 Labs with a background in computer science from Hebrew University. He specializes in machine learning, NLP, computer vision, and distributed computing, focusing on data-driven solutions and clean, elegant code.
Chris Bradshaw is an IT professional with 25+ years of experience in infrastructure, specializing in Azure cloud and VMware vSphere on-premises. He shares practical IT tips, event insights, and real-world solutions from the infrastructure and cloud space.
Tomas Petricek is an assistant professor at Charles University in Prague and a partner at fsharpWorks, specializing in programming systems, functional programming, and the history and philosophy of computing.
Awni Hannun is a machine learning researcher and writer specializing in speech recognition, sequence models, and deep learning frameworks. He shares insights, tutorials, and analyses on ML concepts, algorithms, and practical implementations.
Sebastian Raschka, PhD, is an LLM Research Engineer and AI expert bridging academia and industry, specializing in large language models, high-performance AI systems, and practical, code-driven machine learning.
Kevin Avignon is a software engineer and writer embracing the focused generalist mindset, sharing thoughtful insights on engineering, developer productivity, performance, system design, and the human side of building software through in-depth articles and essays.
Simon Willison — Independent developer and writer documenting practical experiments, tools, and deep analysis around large language models, generative AI, web development, security, and emerging programming workflows through detailed posts and daily TILs.
Alex Merced — Developer and technical writer sharing in-depth insights on data engineering, Apache Iceberg, data lakehouse architectures, Python tooling, and modern analytics platforms, with a strong focus on practical, hands-on learning.
SebastianRaschka.com is the personal blog of Sebastian Raschka, PhD, an LLM research engineer whose work bridges academia and industry in AI and machine learning. On his blog and notes section he publishes deep, well-documented articles on topics such as LLMs (large language models), reasoning models, machine learning in Python, neural networks, data science workflows, and deep learning architecture. Recent posts explore advanced themes like “reasoning LLMs”, comparisons of modern open-weight transformer architectures, and guides for building, training, or analyzing neural networks and model internals.
Melroy van den Berg writes hands-on articles about GNU/Linux, networking, security, DevOps, software engineering and embedded hardware. The blog mixes step-by-step guides and deep dives, from DNS fundamentals with command-line experiments to self-hosting, servers, tooling and practical troubleshooting. Clear categories cover levels from beginner to advanced, making it useful both for learning core concepts and refining day-to-day workflows.
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.
Yasoob Khalid is a developer and writer best known for the free, open-source book Intermediate Python and his project-driven follow-up, Practical Python Projects. His articles and books have reached 5+ million readers across 189+ countries, and his blog remains a go-to place for clear, practical Python insights. By day, Yasoob works on Azure Cloud Networking at Microsoft, and by night he continues to publish tutorials, notes, and experiments that demystify real-world Python for learners at every level. He’s also the author behind the long-running Python Tips site and newsletter, where he focuses on approachable explanations and hands-on examples.