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Gaurav Menghani
Tech Lead at Google Research | Efficient LLMs
About
Gaurav Menghani is a Staff Software Engineer and Tech Lead at Google Research with over 11 years of relevant experience. He is highly skilled in Artificial Intelligence, Machine Learning, Natural Language Processing, Computer Vision, Big Data, Map Reduce, Large-scale Databases, and Information Retrieval. Gaurav is passionate about working on challenging problems and has led several projects related to Model Efficiency, Computer Vision, Natural Language Understanding, Model Inference on IoT devices, and ML Training Infrastructure. Currently, Gaurav is working on enabling the best Neural Networks to run on smartphones and wearables at Google. He is the primary contributor to the Learn2Compress framework for training compact on-device models and has deployed efficient Neural Networks for some of Google's core apps and services, touching billions of active users. He has also filed multiple patents around Efficient Machine Learning. Before joining Google, Gaurav worked as a Senior Software Engineer at Facebook, where he led efforts in improving the retrieval and ranking of all entities on the Post Search surface, including understanding query intent and blending with results from multiple other sources. He was also responsible for the ranking quality and growth of Pages search on Facebook. Prior to that, he worked as a Research Assistant at the Network Security & Applied Cryptography Lab, where he worked on TrustedDB, involving running SQL queries in a cryptographically secure setting. Gaurav holds an M.S. in Computer Science from the State University of New York at Stony Brook. He is highly skilled in Senior Software Engineering, Deep Learning, Research Science, Search, ML, Computer Vision, Neural Networks, Information Retrieval, AI, NLP, Big Data, infra, SQL, and Backend. Gaurav is a quick learner and likes to pick up new skills in his free time.
Education
• stony brook university
Companies
• network security applied cryptography lab
• accenture
• fedora project
Experience
12.3 Years
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Experience
Skills
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Algorithms
Backend
Big Data
C
C++
Computer Vision
Data Structures
Deep Learning
Design
Distributed Systems
Git
Go
Hadoop
HBase
Hive
Information Retrieval
iOS
Java
Large language models (LLM)
Linux
Machine Learning
Machine Learning (ML)
MySQL
Natural Language Processing (NLP)
Neural Networks
NoSQL
NumPy
Python
Research
Research Scientist
Ruby on Rails
Search
Shell Scripting
SQL
TensorFlow
Unix
Vision
Contact Details
Email (Verified)
gauXXXXXXXXXXXXXXXXXXXXomMobile Number
1-6XXXXXXXXX63Education
stony brook university
M.S.
2011 - 2013
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