Miguel Fierro
Mars, the only planet inhabited by robots, Spain
Summary
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RockstarMiguel Fierro is a founder and AI leader with 10+ years building production machine learning at Microsoft and across startups, now leading RecoMind to drive personalization that has generated over $500M in customer revenue. Creator of the widely used Recommenders repository (20K+ stars) and a four-time AI founder, he specializes in turning AI theory into verifiable, deployed products that win hires and promotions. His background spans recommendation systems, NLP, computer vision and distributed training, with hands-on contributions to projects like MXNet and multi-GPU deep learning demos. An adjunct professor and industry board member, he combines rigorous academic training in robotics (PhD, King’s College) and business (MIT Sloan) to coach professionals via a “Reverse Learning” method that prioritizes shipping proof over certificates. Not obvious at first glance: he’s equally comfortable improving dev tooling and testability (notably in microsoft/nlp-recipes) as he is architecting revenue-driving AI workflows for business leaders.
10 years of coding experience
Github Skills (30)
notebook10
pytorch10
pytest10
python10
machine-learning-models10
jupyter10
r10
testing10
mxnet10
machine-learning10
jupyterlab10
text-classification10
mask-rcnn10
deep-learning10
tensorflow10
Programming languages (13)
Github contributions (5)
ilkarman/DeepLearningFrameworks
Aug 2017 - Mar 2018
Demo of running NNs across different frameworks
Role in this project:
ML Engineer
ML EngineerContributions:61 commits, 18 PRs, 54 pushes in 6 months
Contributions summary:Miguel primarily contributed to the project by modifying existing Jupyter Notebooks related to running neural networks across different deep learning frameworks. Their changes involved adding functionality to display GPU names, which indicates a focus on hardware utilization and optimization. This suggests an effort to improve the example code and make it more informative for users experimenting with deep learning frameworks.
mxnetdeep-learningmachine-learningcaffetensorflow
miguelgfierro/ai_projects
Oct 2016 - Dec 2022
AI projects
Role in this project:Data Scientist
Data ScientistContributions:2 reviews, 512 commits, 50 PRs in 6 years 3 months
Contributions summary:Miguel implemented convolutional neural network (CNN) architectures to perform text classification on a dataset. They added a multi-GPU training fix to the script, demonstrating knowledge of distributed training techniques. The code changes show the model being used to make predictions on sentences.
aimachine-learningartificial-intelligencedeep-learningneural-networks
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