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lfiaschi/README.md

Luca Fiaschi, PhD

๐Ÿ‘‹ Hello! I'm Luca Fiaschi, a Tech executive and AI/ML expert who is passionate about turning AI-driven products into transformative business outcomes. My experience includes scaling cross-functional teams to 100+, implementing cutting-edge personalization, combating fraud, and enhancing user experience to drive revenue and retention. Iโ€™ve delivered these results at scale, serving millions of users daily across industries and organizations such as Stitch Fix and Alibaba (e-commerce), HelloFresh (food delivery), and Mistplay (gaming).

About Me

  • ๐ŸŽฒ Partner @ PyMC Labs building agentic AI solutions and Gen AI.
  • ๐Ÿš€ Chief Data & AI Officer @ Mistplay, driving AI-powered user engagement and monetization.
  • ๐Ÿง  VP of Data & Machine Learning @ HelloFresh ($14B)
  • ๐Ÿ VP of Data & Machine Learning @ Stitch Fix ($1B+)
  • ๐ŸŽ Lead Data Scientist @ Alibabaโ€™s Redmart ($200B+)
  • ๐Ÿ“Š 15+ years of experience leading data teams in fast-growing tech companies
  • ๐ŸŽ“ PhD in AI from Heidelberg University (Germany) with 500+ citations.

Expertise

๐Ÿ” My expertise spans analytics, data strategy, data infrastructure, MLOps and machine learning, with a particular focus on enterprise AI solutions, reinforcement learning, and generative AI. From building experimentation platforms enabling 200+ tests annually to reducing fraud by 90% with advanced ML models, I love using data to drive impactful decisions.

Things I can help with:

  • Scaling Data Engineering, Analytics and AI teams effectively
  • Implementing MLOps and real-time data systems
  • Leveraging Bayesian models in business contexts
  • Causal Inference & AB testing for Product and Marketing
  • Implementing scalable Personalization & Recommender Systems
  • Innovating with GenAI and applied AI in diverse industries
  • Building AI-driven customer engagement platforms
  • Transitioning to senior leadership in tech roles
  • Mastering cross-cultural team leadership

Connect with Me

Projects & Contributions

This repository showcases some of my personal projects, experiments, and contributions to the data science and AI community. Feel free to explore and reach out if you have any questions!

Publications

Speaking Engagements

I frequently speak at conferences and events on topics related to AI, machine learning, and data-driven business strategies. If you're interested in having me speak at your event, please reach out!

Let's Collaborate!

๐Ÿค If you're navigating the world of AI in business, seeking innovative product strategies, or diving into the challenges of scaling global tech teams, Iโ€™d love to connect. Whether itโ€™s AI product development, career growth in data science, or angel investment insights, Iโ€™m here to share my learnings and exchange ideas. A portion of my time and resources supports initiatives that nurture innovation and education in technology, reflecting my belief in creating lasting positive impact.

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  1. forestcounting forestcounting Public

    Learnig to count with a Regression Forest and Structured Labels

    Python 8 5

  2. ilastik ilastik Public

    Forked from ilastik/ilastik

    ilastik-shell, applets, and workflows to string them together.

    Python

  3. opengm opengm Public

    Forked from opengm/opengm

    A C++ Library for Discrete Graphical Models

    C++

  4. udacity-traffic-sign-classifier udacity-traffic-sign-classifier Public

    Build a Traffic Sign Recognition Project

    Jupyter Notebook 6 5

  5. udacity-behavioural-cloning-project udacity-behavioural-cloning-project Public

    Use deep learning to train a self driving car.

    Jupyter Notebook 1 1

  6. udacity-transfer-learning-lab udacity-transfer-learning-lab Public

    Transfer learning experiments with Resnet, Inception-V3 and VGG. Part of Udacity nanodegree program.

    Jupyter Notebook