Neal Lathia
Neal Lathia is a machine learning practitioner and writer exploring how AI is built, evaluated, and adopted in the real world. His blog focuses on AI progress, responsible deployment, and the human impact of machine learning systems.
Neal Lathia is a machine learning practitioner and writer exploring how AI is built, evaluated, and adopted in the real world. His blog focuses on AI progress, responsible deployment, and the human impact of machine learning systems.
Ben Recht is a researcher and writer exploring the history, theory, and practice of decision-making by humans and machines. On arg min, he covers optimization, machine learning, cybernetics, and occasional reflections on music and culture.
Lilian Weng is a machine learning researcher documenting deep, well-researched learning notes on large language models, reinforcement learning, and generative AI. Her blog offers clear, structured insights into model reasoning, alignment, hallucinations, and modern ML systems.
Julien Jerphanion writes in-depth articles on machine learning performance, numerical computing, and software craftsmanship. His work focuses on scikit-learn internals, efficient algorithms, and building a strong theoretical understanding of ML systems.
Manoj Choudhari is a Microsoft MVP and Azure & .NET consultant with 10+ years of experience in application development and cloud solutions. He writes practical guides on Azure, .NET, microservices, DevOps, and full-stack web development.
Rui Peres writes thoughtful, concise reflections on leadership, software engineering, delivery, and personal growth. His blog blends management insights, tech culture, and everyday observations with a calm, reflective tone.
Peter Steinberger is a developer and open-source creator exploring modern web technologies after years of native iOS development. Based between Vienna and London, he builds in public, shares learnings, and speaks at tech conferences.
Mark Heckler, MBA, is the Senior Director of Field Engineering at Moderne and a seasoned technologist specializing in application modernization, developer tools, and cloud-native architectures. An open-source contributor and author of Spring Boot: Up and Running, Mark helps organizations deliver secure, observable, and high-performance systems—on time and on budget. He’s also a licensed, instrument-rated pilot, bringing precision and clarity to both software and flight.
Michelle Barker is a front-end developer and writer behind CSS { In Real Life }, a blog dedicated to modern CSS and real-world web development. She shares honest, practical insights on evolving CSS features, front-end techniques, and the web community.
A. Jesse Jiryu Davis is a Senior Staff Research Engineer at MongoDB specializing in distributed systems, Python concurrency, and serverless architecture. He contributes to MongoDB drivers, async frameworks, and writes on software design and open source projects.
Ferenc Huszár is a Professor of Machine Learning at the University of Cambridge and founder of Reasonable, a deep tech startup building advanced programming LLMs. His research focuses on learning theory, reasoning, and inductive biases in deep learning.
Jay Alammar is an educator and author known for visualizing machine learning and LLM concepts through clear, illustrated guides. He teaches thousands of learners and co-authored Hands-On Large Language Models.
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.
Janakiram MSV is a cloud-native and AI infrastructure expert who writes about Kubernetes, enterprise container platforms, and production-grade generative AI systems, focusing on VM-to-Kubernetes migrations and modern cloud architectures.
Robin Moffatt is a Principal DevEx Engineer and seasoned conference speaker with 15+ years of experience presenting at top events like QCon, Devoxx, Kafka Summit, and Strata. He shares insights on developer experience, distributed systems, and cloud technologies through his blog, YouTube, and public talks.
Kellyn Gorman is an Advocate and Engineer at Redgate Software with nearly three decades of experience in cloud, databases, AI, and data-driven infrastructure. She is a published author, keynote speaker, and mentor, passionate about Women in Technology, DEI initiatives, and helping organizations succeed in their cloud and data journeys.
Chip Huyen is a writer, computer scientist, and AI/ML systems expert focused on deploying machine learning in production. She is the author of bestselling books Designing Machine Learning Systems and AI Engineering, and has worked with NVIDIA, Snorkel AI, Netflix, and AI 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.
Mitchell Hashimoto is a software developer and co-founder of HashiCorp, now working on Ghostty, a modern terminal emulator. He previously led and built major DevOps tools like Terraform, Vault, and Consul, and shares insights from engineering and aviation.
Kris Kula is a writer, programmer, consultant, and public speaker passionate about mental models, complex systems, and productivity.