Jess Ramos is a data analytics educator, LinkedIn Top Voice, and founder of Big Data Energy - a media and education brand with 500,000+ followers across platforms. With an MSBA from the University of Georgia, she turned a corporate analytics career (peaking at $153K at Crunchbase) into a thriving solo business after being laid off in 2023. She runs a Substack newsletter with 45,000+ subscribers, teaches SQL to 50,000+ students via LinkedIn Learning, and has brand partnerships with IBM, AWS, Snowflake, NFL, and Claude (Anthropic). Her origin story - doubling her salary 110% in 11 months - became a viral moment that built her community of data professionals seeking real, human-centric career guidance.
Kent Beck is the creator of Extreme Programming (XP) and a pioneer of Test-Driven Development, pair programming, and the Agile Manifesto. A programmer with 52+ years of experience, he co-created JUnit with Erich Gamma, co-invented CRC cards and design patterns in software with Ward Cunningham, and spent seven years coaching at Facebook. Today he runs the 'Software Design: Tidy First?' Substack newsletter (123,500+ subscribers in 195 countries), hosts the Still Burning podcast, and explores augmented human-AI coding. In April 2026 he publicly announced a Parkinson's disease diagnosis, continuing his mission to help technologists feel safe in the world.
Mehdi Ouazza is a Brussels-based Data Engineer and Developer Advocate at MotherDuck with 10+ years in the data space. He is the first DevRel hire at MotherDuck, a DuckDB-powered cloud analytics startup, where he grew social media by 450% and built a YouTube channel to 900K+ views. Creator of the 'Mehdio's Tech (Data) Corner' newsletter on Substack, founder of DataCreators.Club, and a prolific speaker and open-source contributor, Mehdi is known for demystifying data engineering and AI careers with humor, playfulness, and radical honesty.
Sebastian Raschka is a German-born AI/ML researcher, educator, and author who has built one of the most trusted independent voices in the machine learning community. Through his Substack newsletter 'Ahead of AI' (184,000+ subscribers), bestselling books like 'Build a Large Language Model (From Scratch)', and 91,000+ starred GitHub repositories, he demystifies cutting-edge AI for practitioners worldwide. After a stint as an Assistant Professor at UW-Madison and a role as Staff Research Engineer at Lightning AI, he now runs RAIR Lab as an independent researcher, writer, and consultant.
Simon Willison is a British software engineer, open source creator, and AI commentator best known for co-creating the Django web framework and building Datasette, the open-source data exploration tool. He coined the term 'prompt injection' in 2022 and popularized 'AI slop' in 2024 - a word later named Merriam-Webster's 2025 Word of the Year. Through his prolific blog (active since 2002), newsletter with 54,000+ subscribers, and 100+ open source tools, he is one of the most influential independent voices at the intersection of LLMs and open source software.
Hamza Muhammad Khan is a Karachi-based DevOps and cloud engineer who climbed from supporting small-scale WordPress deployments to managing infrastructure at DigitalOcean as an Engineer II before moving into banking-sector DevOps at Bank Al Habib Limited. Educated at NED University (Master's in Computer Science, 2023) and the University of Karachi (Bachelor's in Computer Software Engineering, 2019), he specializes in Linux administration, Kubernetes, Docker, and cloud platform operations - and moonlights as a blockchain tinkerer and machine-learning experimenter on GitHub.
Charlie Guo is a Stanford and YC alum who turned a personal obsession with AI into a 23,000-subscriber newsletter and a Developer Experience role at OpenAI. Through Artificial Ignorance at ignorance.ai, he writes at the intersection of software engineering and artificial intelligence - cutting through hype to deliver practical, hands-on insights for builders. He has co-founded multiple startups (ClassOwl, FanHero, Crowdmade), published a book of startup interviews called Unscalable, and created a widely-used Python library for Gmail with 1.8k GitHub stars - all while teaching himself AI engineering through relentless experimentation.
Christoph Molnar is a Munich-based statistician-turned-ML-author who turned a side project into the field's most-cited book on interpretable machine learning. Author of six books including the canonical 'Interpretable Machine Learning' (3rd ed., 2025), he runs the Mindful Modeler newsletter and consults on making black-box models explainable. With 16,000+ Google Scholar citations and a PhD from LMU Munich, he sits at the precise intersection where statistical rigor meets machine learning pragmatism.
Daniel Bourke is an Australian machine learning engineer, educator, and content creator who teaches over 230,000 students worldwide through the Zero to Mastery Academy. Operating under the brand 'mrdbourke', he built a self-designed AI education path from a film degree and zero coding experience, and now creates courses on PyTorch, TensorFlow, and Hugging Face. He co-founded Nutrify, an AI-powered food tracking app, with his brother Joshua, and published his debut novel 'Charlie Walks' in 2024. His newsletter 'Eat, Move, Learn, Make' blends personal philosophy with technical insight.
Hamel Husain is a machine learning engineer with 25+ years of experience who built part of the foundation beneath GitHub Copilot - his CodeSearchNet project was early LLM research later used by OpenAI for code understanding. Today he runs Parlance Labs, consults with AI teams across 35+ products, co-authored O'Reilly's 'Evals for AI Engineers', and teaches thousands of engineers how to move beyond vibes and actually measure their AI systems.
Jacob Kaplan-Moss is one of the co-creators of Django, the Python web framework that powers Instagram, Pinterest, and thousands of other sites worldwide. After 25+ years building and leading software teams - from a Kansas newspaper where Django was born, to Heroku's security org, to 18F's government tech unit - he walked away from the tech industry in 2024, training as an EMT and volunteering with search and rescue. He remains a board member of the Django Software Foundation, publishes the 'jacobian' newsletter on engineering craft, and is known for his influential writing on hiring, documentation, and the 'programming talent myth'.
Maarten Grootendorst is a psychologist-turned-ML engineer at Google DeepMind, best known for creating BERTopic, KeyBERT, and PolyFuzz - open-source NLP tools with over 15 million combined downloads. Co-author of the Amazon #1 bestseller 'Hands-On Large Language Models' (O'Reilly, 2024) with Jay Alammar, he runs the 'Exploring Language Models' newsletter with 2M+ views and has taught 50,000+ students on DeepLearning.AI. His work bridges the worlds of psychology and AI, making complex language model internals accessible through strikingly visual guides.
Roy Rapoport is a veteran engineering leader and writer whose work has quietly reshaped how tech companies think about people, reliability, and operational culture. Best known for his two stints at Netflix (where he built Insight Engineering and its operational platform) and a stint at Slack, Roy popularized the Manager README format and authored influential frameworks on feedback, trust, and performance improvement. He writes on Medium about the subtler mechanics of leadership, raises goats in California, and insists he will never retire.
Vicki Boykis is a founding ML engineer and one of the most respected voices in applied machine learning. Known for making complex systems legible through rigorous writing and dry wit, she runs the Normcore Tech newsletter, authored a widely-cited deep dive on embeddings, built Viberary (a semantic book recommendation engine), and created Normconf - an unconventional data conference celebrating the unglamorous realities of ML work. She brings an economist's skepticism and a software engineer's discipline to a field that often confuses hype for progress.
Vik Paruchuri is the founder and CEO of Datalab, an AI startup building small, efficient foundation models for document intelligence. A self-taught ML engineer who majored in American History, he previously founded Dataquest - an online learning platform that taught data skills to over 1 million students. His open-source projects (Marker, Surya, Chandra OCR) have earned thousands of GitHub stars and benchmark-topping accuracy scores. He publishes 'The Vik Letter' newsletter covering semiconductors and tech.
Huzaifa Zahoor is a Pakistani-Australian software engineer and co-founder of Meyka AI, an AI-powered stock research platform serving 3,000+ monthly users. With over 4 years of experience building financial technology systems, he bridges data engineering, machine learning, and product development to democratize access to sophisticated financial analysis tools for retail investors and traders worldwide.
LlamaIndex is a San Francisco-based AI infrastructure company and open-source framework that enables enterprises to build intelligent document agents using large language models. Founded in 2022 by Jerry Liu and Simon Suo, it started as a side project called GPT Index and has grown into a full enterprise platform with products like LlamaParse (agentic OCR), LlamaCloud (enterprise SaaS), and a widely-used Python/TypeScript SDK. With 25M+ monthly downloads, 48K+ GitHub stars, and customers including Rakuten, Salesforce, and 90+ Fortune 500 companies, LlamaIndex is a leading player in the enterprise RAG and AI agent infrastructure space.
Modal (Modal Labs) is an AI-native serverless cloud computing platform that gives developers instant, elastic access to GPUs and CPUs through a clean Python SDK — no YAML, no Dockerfiles, no infrastructure management required. Founded in 2021 by Spotify ML veteran Erik Bernhardsson, Modal enables AI and ML teams to scale from zero to thousands of GPUs in seconds, paying only for what they use. With customers like Suno, Mistral AI, Harvey, Ramp, and Substack, Modal reached unicorn status at a $1.1B valuation in September 2025 and was reportedly in talks to raise at $2.5B just five months later.