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Category: Author Spotlights

  • Designing Data and AI Systems That Hold Up in Production

    Designing Data and AI Systems That Hold Up in Production A system-level perspective on architecture, agents, and responsible scale The post Designing Data and AI Systems That Hold Up in Production appeared first on Towards Data Science. TDS Editors Go to original source

  • The Evolving Role of the ML Engineer

    The Evolving Role of the ML Engineer Stephanie Kirmer on the $200 billion investment bubble, how AI companies can rebuild trust, and how her day-to-day work changed with the rise of LLMs. The post The Evolving Role of the ML Engineer appeared first on Towards Data Science. TDS Editors Go to original source

  • Building Systems That Survive Real Life

    Building Systems That Survive Real Life Sara Nobrega on the transition from data science to AI engineering, using LLMs as a bridge to DevOps, and the one engineering skill junior data scientists need to stay competitive. The post Building Systems That Survive Real Life appeared first on Towards Data Science. TDS Editors Go to original…

  • Bridging the Gap Between Research and Readability with Marco Hening Tallarico

    Bridging the Gap Between Research and Readability with Marco Hening Tallarico Diluting complex research, spotting silent data leaks, and why the best way to learn is often backwards. The post Bridging the Gap Between Research and Readability with Marco Hening Tallarico appeared first on Towards Data Science. TDS Editors Go to original source

  • The Skills That Bridge Technical Work and Business Impact

    The Skills That Bridge Technical Work and Business Impact In the Author Spotlight series, TDS Editors chat with members of our community about their career path in data science and AI, their writing, and their sources of inspiration. Today, we’re thrilled to share our conversation with Maria Mouschoutzi.  Maria is a Data Analyst and Project…

  • Learning, Hacking, and Shipping ML

    Learning, Hacking, and Shipping ML Vyacheslav Efimov on AI hackathons, data science roadmaps, and how AI meaningfully changed day-to-day ML Engineer work The post Learning, Hacking, and Shipping ML appeared first on Towards Data Science. TDS Editors Go to original source

  • “The success of an AI product depends on how intuitively users can interact with its capabilities”

    “The success of an AI product depends on how intuitively users can interact with its capabilities” Janna Lipenkova on AI strategy, AI products, and how domain knowledge can change the entire shape of an AI solution. The post “The success of an AI product depends on how intuitively users can interact with its capabilities” appeared…

  • “Systems thinking helps me put the big picture front and center”

    “Systems thinking helps me put the big picture front and center” Shuai Guo on deep research agents, analytical AI vs LLM-based agents, and systems thinking The post “Systems thinking helps me put the big picture front and center” appeared first on Towards Data Science. TDS Editors Go to original source

  • Actual Intelligence in the Age of AI

    Actual Intelligence in the Age of AI Jarom Hulet on mastering fundamentals, hiring well, and deciding what to write about next The post Actual Intelligence in the Age of AI appeared first on Towards Data Science. TDS Editors Go to original source

  • Generalists Can Also Dig Deep

    Generalists Can Also Dig Deep Ida Silfverskiöld on AI agents, RAG, evals, and what design choice ended up mattering more than expected The post Generalists Can Also Dig Deep appeared first on Towards Data Science. TDS Editors Go to original source

  • “My biggest lesson was realizing that domain expertise matters more than algorithmic complexity.“

    “My biggest lesson was realizing that domain expertise matters more than algorithmic complexity.“ Claudia Ng reflects on real-world ML lessons, mentoring newcomers, and her journey from corporate ML to freelance AI. The post “My biggest lesson was realizing that domain expertise matters more than algorithmic complexity.“ appeared first on Towards Data Science. TDS Editors Go…

  • “I think of analysts as data wizards who help their product teams solve problems”

    “I think of analysts as data wizards who help their product teams solve problems” Mariya Mansurova explains how hands-on learning, agentic AI, and engineering habits shape her writing and work. The post “I think of analysts as data wizards who help their product teams solve problems” appeared first on Towards Data Science. TDS Editors Go…

  • The Power of Building from Scratch

    The Power of Building from Scratch Mauro Di Pietro discusses building AI agents with open-source tools, bridging theory and practice, and why he’s still nostalgic for scikit-learn. The post The Power of Building from Scratch appeared first on Towards Data Science. TDS Editors Go to original source