$240 / month
2 calls per month
Unlimited Q&A via chat
Expect responses in 3-4 days
No spots left, but you can save the mentor to your wishlist to get notified about their open spots!
Cancel anytime
One-off sessions with Margaret
One-off sessions are a great option if you’re looking for specific advice on a certain topic.
Looking to learn a new skill? The vast amount of resources on any topic on the internet can feel overwhelming at times. A mentor can give you an overview of worthwhile content, and work with you to create a study plan. For this session, it …
Sometimes, a strategy is needed to accomplish a future career change, or simply to get further in your current position. Should you go back to school? Look for a new job? Learn a new set of skills by yourself? Become a freelancer? One of our …
Not sure about your newest design? Not sure if your code is as good as it can be? Portfolio site looking a bit, meh? In this session, a mentor will sit down with you, and give you some inputs to make your work better, be …
ML engineer experienced in applying ML to real world use cases from art and design, climate changes to society safety. Google Developer Expert for Machine Learning. Top contributor to the open-source ML framework TensorFlow. I write blog posts, speak at conferences about computer vision, deep learning and on-device ML. I have extensive mentoring experience: mentored several Google Summer of Code TensorFlow projects; mentor for "TensorFlow: Advanced Techniques Specialization" by Coursera Deeplearning.AI's, and mentor for the Women Developers Academy powered by Google's Women Techmakers program.
5 out of 5 stars
Margaret has a lot of knowledge and knows her business.
5 out of 5 stars
A very knowledgeable mentor who patiently heard me and answered based on what my goals were. She gave great insights to help formulate a structured plan for me to get started !!!
Notify me when Margaret has new spots
We will send you a quick email if Margaret has new open spots for mentorship, and only in that case!
Book an intro call with Margaret
Connect with Margaret in a quick call (usually under 30 minutes)
