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Varun Natu
ML @ Meta
About
Varun Natu is a highly skilled Software Engineer with a focus on Perception and Artificial Intelligence. He is currently working at Nuro, where he is responsible for developing and implementing software systems for Perception. Varun has a Master's degree in Artificial Intelligence and Innovation from Carnegie Mellon University and a Bachelor's degree in Computer Science from Birla Institute of Technology and Science, Pilani. Varun has a strong background in developing and implementing complex software systems. He has extensive experience working with Convolutional Neural Networks (CNN) and has developed and implemented a CNN + Attention based system for detecting live humans in real-time audio. This system can differentiate live humans from recorded humans, TTS and non-speech sounds, and can detect live humans within ~7 seconds on ~94% of test calls. This system is currently being used to screen phone calls for human presence. Prior to joining Nuro, Varun worked as a Software Engineer Intern at Uber ATG (Advanced Technologies Group), where he was responsible for improving the efficiency of LaserNet with respect to training speed and resource consumption. He decreased GPU memory during training by 27% using 'Backpropagation with Low-Precision Activations' and implemented custom TF ops and layers for a full precision forward pass alongside a quantized backward pass. He also experimented with Bidirectional FPNs and swish activations for speed-performance tradeoffs. Varun has also worked as a Masters Capstone Project at Carnegie Mellon University, where he developed and implemented a CNN + Attention based system for detecting live humans in real-time audio. This system was able to differentiate live humans from recorded humans, TTS and non-speech sounds, and could detect live humans within ~7 seconds on ~94% of test calls. Varun's technical skills include Software Engineering, CNN, and test. He has 1.60 years of relevant experience and is always looking for new and innovative ways to apply his skills and knowledge to solve complex problems.
Education Overview
• carnegie mellon university
• bits pilani birla institute of technology and science
• delhi public school india
• navy children school
• walworth barbour american international school wbais israel
Companies Overview
• meta
• nuro
• carnegie mellon university
• uber
• amex
• nanyang technological university
• liveweaver zerolabs
• empowered learning systems pvt. ltd.
Experience Overview
4.5 Years
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Experience
Masters Capstone Project
carnegie mellon university | Pittsburgh, Pennsylvania, United States
2021 - 2021
Software Engineer Intern - Autonomous Vehicles
uber | Pittsburgh, Pennsylvania, United States
2020 - 2020
Skills
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Computer Vision
Deep Learning
Design
Research
Research Scientist
Software Engineer
Vision
Contact Details
Email (Verified)
vunXXXXXXXXXXXomMobile Number
+91XXXXXXXXXXEducation
carnegie mellon university
Master of Science - MS
2019 - 2021
bits pilani birla institute of technology and science
Bachelor of Engineering (B.E.)
2014 - 2018
delhi public school india
CBSE
2012 - 2014
walworth barbour american international school wbais israel
2006 - 2010
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