Aditya Rohilla writes about software engineering, cloud-native systems, AI, and platform security. His blog covers practical insights on system design, GenAI, zero-trust architecture, and lessons learned from top tech companies like Amazon.
Alexander Rush, Associate Professor at Cornell and researcher at Hugging Face, focuses on improving language models, efficient deep learning algorithms, and AI safety. Explore his work on LLM scaling, long-context generation, and open-source NLP tools.
Yuxin Wu shares in-depth insights on Python, PyTorch, and large-scale software design. Explore tutorials on memory optimization, data loading, stacked diffs, static initialization, and building efficient deep learning systems.
Neil Lawrence is a researcher and thought leader writing about machine learning, artificial intelligence, and decision-making under uncertainty. His work explores the societal, ethical, and technical implications of AI, data science, and policy over the past decade.
Shreya Shankar is a PhD researcher sharing insights on AI, machine learning, HCI, and data science. Her work explores LLM applications, AI evaluation, and practical ML engineering challenges, reaching a wide audience across blogs and social media.
Mark Saroufim is a software engineer and writer focused on machine learning systems, PyTorch, reinforcement learning, and the intersection of computation, mathematics, and product thinking. His writing blends hands-on engineering with theory, exploring everything from deep learning infrastructure to philosophy of computation.
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.
Matt Hansen is a cloud solutions expert and founder of Hansen Cloud, specializing in Azure infrastructure, networking, storage, and security.
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.
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.
