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.
Randy Zwitch is a software engineer specializing in Python and data engineering. His blog features detailed tutorials on building and optimizing Python tools like PyArrow with GPU/CUDA support, Docker workflows, and high-performance data processing.
Noah Gift is a technologist, educator, and writer focused on cloud computing, AI, open source, and the human impact of technology. His work blends hands-on engineering insights (Python, Rust, AWS, serverless) with sharp critiques of corporate culture, economic systems, and AI ethics.
Mark Litwintschik is a Big Data, AI, GIS, and networking consultant with international experience, helping clients across the UK, USA, Europe, and beyond. He specializes in large-scale data analysis, geospatial insights, and technology consulting for major corporations and organizations.
James Le leads Developer Experience at Twelve Labs, building foundation models for video understanding and advancing production ML and data infrastructure. A former ML advocate and data science journalist, he also hosts Datacast and writes Data Notes on industry, research, and careers in AI.
SEO Short Description (2–3 lines): Emir U. is a research-focused software engineer applying mathematics, statistics, and computer science to real-world problems, with 18+ years in software and 7+ years in commercial research. A PhD candidate in astronomy with a background in applied maths and philosophy, he writes about machine learning, logic, and statistical modeling.
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.
Jenna Jordan is a senior analytics engineer and civic tech data specialist bringing a data librarian’s perspective to modern analytics teams. She writes about data engineering best practices, dbt architecture, and building trustworthy data systems for public impact.
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.
Paul Done is an enterprise software engineer and MongoDB expert who writes in-depth technical articles on data aggregation, performance optimization, and scalable database architectures. His blog and book focus on practical techniques for building efficient, production-ready MongoDB aggregation pipelines.
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.
Benjamin Perkins is a Microsoft Azure Escalation Engineer in Munich, sharing expert C# and cloud solutions from 20+ years in IT.
Rob Koch is the default Jekyll theme, providing a clean, minimal starting point for Jekyll sites, with easy customization and strong integration with Jekyll’s core features.
Brent Ozar is a SQL Server performance expert and consultant who helps teams fix critical database slowdowns, improve reliability, and master SQL Server through hands-on consulting and world-class training.
Gunnar Morling is a Java Champion and open-source software engineer specializing in Java and data streaming. He works at Confluent, contributes to projects like Hibernate and Debezium, and shares his expertise through blogs, talks, and conferences.
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.
Morling.dev is the personal blog of Michael Morling, a software engineer and architect with deep expertise in Java, Spring, JVM internals, architecture, performance, and developer tooling. His writing focuses on practical and detailed explanations of topics such as Spring framework internals, microservices design, JVM garbage collection, performance tuning, clean architecture, Gradle builds, and language features that matter in real projects. Michael often breaks down subtle behaviors of the JVM and Spring ecosystem, helping developers understand why things work the way they do and how to improve reliability and efficiency in production systems.
