Rewa Sood work email
- Valid
Rewa Sood personal email
I am very interested in applying machine learning concepts to challenging real-world problems, such as super-resolution and segmentation in medical imaging. The constraint on the amount of data available adds another intriguing dimension to the problem. I am looking for Software Machine Learning, Deep Learning and AI opportunities internship for Summer 2019 where I can support a team regarding their machine learning tasks while gaining invaluable experience that will help me be even better at what I do.
Netflix
View- Website:
- netflix.com
- Employees:
- 17330
- Company phone:
- 916.253.7820
-
Senior Machine Learning EngineerNetflixStanford, Ca, Us -
Machine Learning EngineerGoogle Mar 2022 - PresentMountain View, Ca, Us -
Machine Learning EngineerApple Jun 2020 - Mar 2022Cupertino, California, Us -
Graduate Research AssistantStanford University Jun 2018 - Jun 2020Stanford, Ca, UsWorking on super resolution in medical imaging as a first step in segmentation and registration pipelines. The goal is to create a network that is agnostic to the various contrasts found among MR acquisitions and that is able to super resolve MR scans from any part of the body. -
Deep Learning InternApple Jun 2019 - Sep 2019Cupertino, California, Us -
Machine Learning Research InternNuevozen Oct 2018 - Jan 2019I worked on developing an ML solution for segmenting breast cancer in mammography images.
-
InternIntern At Intel Corporation May 2017 - Sep 2017Working on automating the regression flows, binning and classifying failures, and sending out notifications to test owners.
-
InternThe Johns Hopkins University Applied Physics Laboratory Jun 2016 - Sep 2016Laurel, Maryland, UsGoals Achieved: 1. Create a program in MATLAB that plots the Doppler shift curve of a given CUBESAT 2. Overlay the Doppler shift plot with the expected curve using STK data 3. Automate the recording system by connecting the online database to the software defined radio
Rewa Sood Skills
Rewa Sood Education Details
-
Stanford UniversityElectrical Engineering -
University Of Illinois Urbana-ChampaignElectrical And Electronics Engineering
Frequently Asked Questions about Rewa Sood
What company does Rewa Sood work for?
Rewa Sood works for Netflix
What is Rewa Sood's role at the current company?
Rewa Sood's current role is Senior Machine Learning Engineer.
What is Rewa Sood's email address?
Rewa Sood's email address is re****@****gle.com
What schools did Rewa Sood attend?
Rewa Sood attended Stanford University, University Of Illinois Urbana-Champaign.
What skills is Rewa Sood known for?
Rewa Sood has skills like Python, Artificial Intelligence, Mathematical Analysis, Tensorflow, Research, Software Development, Convolutional Neural Networks, Big Data, Machine Learning, Mathematical Modeling, Deep Learning, C++.
Who are Rewa Sood's colleagues?
Rewa Sood's colleagues are Karim Alaoui, Cole Delbyck, Kamila Fernandez, Pooja Devi, Kathryn Mitchell, Zunaira Ayaz, Joey Skeele.
Free Chrome Extension
Find emails, phones & company data instantly
Download 750 million emails and 100 million phone numbers
Access emails and phone numbers of over 750 million business users. Instantly download verified profiles using 20+ filters, including location, job title, company, function, and industry.
Start your free trial