Gaurav Sharma
About Gaurav Sharma
Gaurav Sharma is an Engineering Manager at LinkedIn, specializing in Ads, with extensive experience in technical leadership and big data technologies.
Current Role at LinkedIn
Gaurav Sharma has been working at LinkedIn as the Engineering Manager, Ads since 2019. In this role, he oversees technical teams involved in the development and implementation of advertising technologies.
Previous Experience at Chartboost
Before joining LinkedIn, Gaurav Sharma held several positions at Chartboost between 2013 and 2019. He started as a Senior Software Engineer and then progressed to Technical Team Lead and Engineering Manager. His work focused on leading technical teams and driving various engineering projects in the San Francisco Bay Area.
Technical Expertise and Certifications
Gaurav Sharma possesses extensive expertise in machine learning, big data technologies, and infrastructure for large-scale distributed applications. He is certified in using Cassandra for big data applications. His technical proficiencies include Hadoop, HBase, Spark, HIVE, and AWS services like S3 and EC2. He also specializes in machine learning libraries such as Spark MLLib and scikit-learn.
Educational Background
Gaurav Sharma has a strong educational foundation in technology and computer science. He earned a Bachelor of Technology in Information Technology from the Technological Institute of Textile and Sciences in 2006, followed by a Master of Science in Computer Science from the University of Southern California in 2011. Additionally, he completed a Continuing Studies Course in Statistics at Stanford University in 2018.
Professional Skills and Methodologies
Gaurav Sharma has extensive experience in technical leadership, agile methodologies, and product roadmap planning. His skills include scrum, sprint planning, test-driven development (TDD), and creating product requirement documents (PRD). He is also proficient in data visualization using pandas and matplotlib and frequently utilizes Jupyter Notebooks and SageMaker for data analysis.