I am a quantum AI research scientist at Zapata Computing in Toronto, Canada, developing machine learning algorithms to work in quantum computers.
Before that, I lived in Silicon Valley, where I worked at the following companies:
- Apple: I was a lead AI educator, in charge of teaching machine learning to the employees and doing internal consulting in AI related projects.
- Udacity: I was the head of content for AI and Data Science, managing the team that created online courses in AI, ML, Deep Learning, Data Science, etc.
- Google: I was part of the video recommendations team at YouTube, where we trained machine learning algorithms to recommend videos in the main page.
Before my life in technology, I was a research mathematician. I did a Bachelors and Masters at the University of Waterloo, a PhD at the University of Michigan, and an NSERC Postdoctoral Fellowship at the Université du Québec à Montréal.
My love for math goes way back. As a high school student, I participated in the International Mathematical Olympiads, representing my native country of Colombia in the IMO 98 and IMO 99.
Some frequently asked questions
Q: What do I use to make my videos?
A: I make the slides on Keynote and I edit them with iMovie. I have recently started to explore Castofly.
Q: Can you speak at my event or appear in my podcast?
A: Maybe! I can’t promise since sometimes times get busy, but I do love to speak at events and do interviews/podcasts. Please go to my contact page and send me a message.
Q: Other than your videos, do you have any full-length courses you teach?
A: I taught several courses owned by Udacity, together with some wonderful colleagues, which I highly recommend:
- (Free) Deep learning with Pytorch
- Machine Learning Nanodegree
- Deep Learning Nanodegree
- Artificial Intelligence Nanodegree
- Data Science Nanodegree
Q: How do I get into machine learning / data science?
I am a big believer that one should learn by doing, so a combination of online courses, kaggle competitions, and jumping in to do your own projects with datasets are the recipe for success. Don’t wait until you know all the math and computer science to start doing data science.
Q: Any advice for programming interviews?
A: Yes, this is what I used plus some other recommendations: