# Gaurav Srivastava > Machine learning at Linkedin Location: San Francisco, California, United States Profile: https://flows.cv/gauravsrivastava I am currently working as a software engineer at LinkedIn, where I work with a diverse and talented team of engineers and researchers to improve large scale recommendation systems for Linkedin Products. In the past I have worked on applying Machine learning algorithms in the filed of computer vision and deep learning model compression. I feel excited when a mathematical formulation can be converted into a block of code which results in solving a complex problem. I get a similar amount of joy if this formulation results into a theoretical improvement or helps create better customer facing products. I am firm believer in technology being used for the betterment of society. I am ready to be happily amazed by the technological advancements and looking forward to see more of those. ## Work Experience ### Staff Software Engineer @ LinkedIn Jan 2026 – Present ### Senior Software Engineer, Machine Learning @ LinkedIn Jan 2022 – Jan 2026 | San Francisco Bay Area Some of the projects that I have worked on are sequential recommender systems and Meta Learning for recommender systems. ### Research Engineer II @ Yahoo Jan 2018 – Jan 2022 | San Francisco Bay Area I have been working with videos and images, applying machine learning/ deep learning techniques to develop applications useful to internal and external customers. My first project at Verizon Media was building a deep learning pipeline for recommendation system for fashion industry. Multi-label-learning task for videos is another project that I have worked on. I have worked on developing a Optical Character Recognition (OCR) system for videos and deploying it on Yahoo's content aggregation pipeline. I am currently working on developing Image Captioning system. ### Graduate Research Assistant @ Arizona State University Jan 2017 – Jan 2018 | Tempe, AZ, USA Compression of deep neural networks using Quantization and Structured sparsity. ### Graduate Teaching Assistant @ Arizona State University Jan 2016 – Jan 2016 | Tempe, AZ, USA Teaching assistant for Design/Synthesis and Digital Hardware course. Job responsibility involves conducting lab and recitation sessions for students on Digital Design, Verilog HDL coding and using XIling Vivado tool. ### Engineer 2, Characterization @ Microsemi Corporation Jan 2013 – Jan 2016 | Hyderabad Area, India -Serdes electrical characterization for different serial protocols across PVT corners -PCI Express electrical characterization, at 2.5 Gbps and 5 Gbps for Transmitter compliance test, Receiver jitter tolerance compliance test and PLL loop bandwidth test -TDR load measurements on serdes lanes to validate against SGMII load specifications -SGMII, SRIO, XAUI, Fibre Channel Transmitter and Receiver characterization test for jitter tolerance and electrical compliance -S-parameter and TDR characterization on Microsemi Polarfire test chip ### Engineer 1, Characterization @ Microsemi Corporation Jan 2011 – Jan 2013 | Hyderabad Area, India -Post Silicon characterization of ARM Cortex M3 peripherals on SoC across PVT -Validation/bring-up and characterization of Cortex M3 peripherals on board -Part of team, defining characterization methodology for IPs like Ethernet, I2C, SPI, UART, CAN -Performed power and performance characterization on the IPs across Process Voltage Temperature -Wrote the API functions for controlling the TX and RX transactions through IPs -Enhanced and developed FPGA Power up/down and other fabric characterization methodology -Developed automation scripts, which helped improve the time of task by 70% ### Intern @ Ericsson India Ltd Jan 2010 – Jan 2010 Digitized Network Planning, Field operations and Quality Analysis ## Education ### Master’s Degree in Computer Engineering Ira A. Fulton Schools of Engineering at Arizona State University ### B.Tech. in Electronics & Communication Engineering National Institute of Technology Warangal ## Contact & Social - LinkedIn: https://linkedin.com/in/gaurav-srivastava-98760a22 --- Source: https://flows.cv/gauravsrivastava JSON Resume: https://flows.cv/gauravsrivastava/resume.json Last updated: 2026-04-12