Hello!

My name is Omar! I’m a Machine Learning Engineer working in the intersection of Open Source and Product at Hugging Face in the Developer Advocacy Team.

Previously, I was a Software Engineer at Google working in ML models and infrastructure that power multiple features in Google Assistant. I was also a 20% Product Manager in the TensorFlow Graphics team.

I’ve always loved to share my knowledge with others, so I try to give talks whenever possible. This also led me to create AI Learners, a non-profit Spanish-speaking community in which we offered talks and workshops on topics such as Machine Learning, Deep Learning, Natural Language Processing and Computer Vision for people of all levels of knowledge.

Working at Hugging Face

My work has a bit of everything:

• Integrating third-party libraries such as spaCy and Sentence Transformers to the Hub.
• Helped with increasing the usage of the Hub. 9000 to 18000 repos in just 5 months!
• Co-organized community events such as a great Flax sprint and the Collaborative Training.
• and lots of cool nice stuff I would love to share with you

Workshops given by me (mix of Spanish and English)

If you want to invite me to give a workshop/conference/talk, happy to do so! Please reach out to me to omar at huggingface.co.

• Open Machine Learning (London, QCon), April 2022)
• Hands on Workshop with Hugging Face (online, University of Groningen), March 2022)
• Hands on Workshop with Hugging Face (online, Sorbonne University), March 2022)
• Hands on Workshop with Hugging Face (online, AI.Slovakia Radio), February 2022)
• Hands on Workshop with Hugging Face (online, IITG.ia), February 2022)
• How to build ML in an open and collaborative way (online, AI Sweden NLP Seminar Series, February 2022)
• PyCon Chile - Building Machine Learning demos with Python (online, PyCon Chile, October 2021)
• PyConAr - Building Machine Learning demos with Python (online, PyCon Sweden, October 2021)
• PyCon Sweden - Building Machine Learning demos with Python - Streamlit (online, PyCon Sweden, October 2021)
• PyConZa - Building Machine Learning demos with Python - Gradio (online, PyConZA, October 2021).
• NLP from Zero to Hero, Building NLP demos with Spaces (online, SpainAI, video, October 2021).
• Podcast: Democratizing AI (online, SaturdaysAI, video, September 2021).
• Podcast: In the frontier of the development of AI (online, LATAM Minds, spotify, September 2021).
• NLP from Zero to Hero, Word Embeddings (online, SpainAI, video, July 2021).
• Contributing to the Open Source ML Ecosystem (online, Talent Land Mexico, July 2021).
• Open Source Ecosystem of ML and NLP (online, Data Science Research Peru, website June 2021).
• Differentiable 3D Graphics (online, RIIAA, August 2020).
• Conversation about AI (online, ELIA - Latin American AI School, July 2020).
• ML in production two days workshop. (Madrid, 2019, organized by EOI Business School, presentation).
• Introduction to Machine Learning and the regulation efforts (Bogota, 2019, UN Women Colombia).
• End to end Machine Learning (Lima, co-organized with Data Science Research Peru, 2019).
• World Models (Lima, co-organized with Data Science Research Peru, 2019).
• Introduction to TensorFlow (webinar, 2019, recording).
• Generative Adversarial Networks (Mexico City, AI Learners, 2018, recording).
• Neural Network Types (Mexico City, AI Learners, 2018, recording).
• Introduction to Deep Learning (Mexico City, MVS radio, 2018).
• Deep Learning in a real setting (Mexico City, MVS radio, 2018).
• World Models, can a program learn from its dreams? (Mexico City, AI Learners, 2018, recording).
• Introduction to Deep Learning and Neural Networks (Mexico City, AI Learners, 2018).
• Introduction to Deep Learning (Mexico City, HackRobots, December 2017).

Location

🇨🇭 Currently located in Zurich.

🇲🇽 Lived in Mexico for 12 years.

🇵🇪 Lived in Peru for 9 years.

🇵🇦 Lived in Panama for 2 years.

I also had the great opportunity of doing internships in Seattle and Mountain View. The rest of my time has been visiting my family 🇺🇾 🇨🇴 🇪🇸.

Courses taught

• Machine Learning for economists (Mexico City, 2018)
  • Taught a small group of economists Machine Learning basics and how to apply it for practical economy problem.
  • Topics: Machine Learning, linear regression, classification, regularization, how to evaluate learning algorithms, deep learning, clustering, reinforcement learning, and recurrent neural networks.
• Practical Deep Learning (Mexico City, 2018)
  • Gave a three months course at the ITESM (Tecnológico de Monterrey) to CS students about practical Deep Learning.
  • Topics: Introduction to Deep Learning, backpropagation, convolutional neural networks, recurrent neural networks, LSTMs, embeddings and word2vec, Reinforcement Learning, world models, and an introduction to TensorFlow.
• Immersive Web Development (Mexico City, 2017)
  • Throughout two semesters, I taught an introduction to web development course to CS students.
  • Topics: HTML5 & CSS3, designing their own framework, bootstrap and polymer, JavaScript, JQuery, APIs, Node, Selenium, and front end optimization.

Mentoring

• Mentor Google Launchpad (Mexico City, 2018)
• Mentor in BBVA Hack (Mexico City, 2018)
• Mentor in SF Hacks (San Francisco, 2018)
• Mentor in DubHacks (Seattle, 2017)

Feel free to connect with me in LinkedIn or follow me in Twitter.