Works at Facebook. Lives in United States of America
Experienced Machine Learning scientist with 10+ year practical track record of delivering high quality products. I lead the Video Recommendations Team at Meta, focusing on user personalization models. Prior to that, I also delivered significant improvements for Feed Ranking and Ads Ranking models at...
Experienced Machine Learning scientist with 10+ year practical track record of delivering high quality products. I lead the Video Recommendations Team at Meta, focusing on user personalization models. Prior to that, I also delivered significant improvements for Feed Ranking and Ads Ranking models at Facebook since 2015. I advise startups on Machine Learning, Recommender Systems, Deep Learning.
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When you find the mentor that you want to speak with, click on the blue Book a Call button to set up a time to talk to him or her. You will be able to connect with them via Zoom or Google Meet on a date that you select.
To prevent users from abusing the system and respect the mentors' time, we don't provide free calls. However, if you are not satisfied with your session, you can request a refund up til 7 days after your first session. No questions asked.
Sessions are 30 minutes long. It's important that you tell us what you want to talk about on the booking form so that the mentor can prepare beforehand. Most mentees find that 30 minutes is enough time to get the advice they need to get unstuck.
Yes. Many mentees book mentors on a weekly or biweekly basis. Phone calls are so productive that you'll find that you'll have some action items after the call. Once you've handled these items, you might want to book another call.
Experts want to help. They want to give back to the community that helped them succeed. Speaking with smart, serious people is a win-win situation for them as they get to learn too.
Each mentor page has the expert's job title and areas of expertise. Please read their bio to see what they can help you. We have experts who specialize in different areas such as product management, design, marketing, business, and software engineering. We have successful entrepreneurs who founded and sold multi-million dollar tech companies, sold companies, and raised millions in venture funding.
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To get the most out of your session, we recommend that you do the following:
Staff Machine Learning Engineer @ Facebook
Works at Facebook. Lives in United States of America
Facebook
January 2015 - Present
