linkedin > linkedin Employee Directory > Ravi Tadinada
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Ravi Tadinada
Senior Software Engineer
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Location: San Francisco, California, United StatesApprox. Years of Experience: 6
Ravi Tadinada's Current Workplace
LinkedIn
Company Size
2500+
Amount Raised
$154.8M
Founded in 2003, LinkedIn connects the world's professionals to make them more productive and successful. With more than 1 billion members worldwide, including executives from every Fortune 500 company, LinkedIn is the world's largest professional network. The company has a diversified business model with revenue coming from Talent Solutions, Marketing Solutions, Sales Solutions and Premium Subscriptions products. Headquartered in Silicon Valley, LinkedIn has offices across the globe..
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Notable Investors
SAP, Sequoia Capital, Tiger Global Management, Goldman Sachs, Greylock
B2B
Marketing
Recruiting
Social Network
Lead Generation
Human Resources
Lead Management
Social Recruiting
Digital Marketing
Advertising Platforms
Social Media Marketing
Professional Networking
Social Media Advertising
Experience
LinkedIn
Jun 2019 - Present
Senior Software Engineer
Dec 2019 - Present
3 years 11 months
In 2020, I moved to New York and switched to the Advertiser Assets team responsible for managing the images and videos advertisers use in their creatives. In this role, I led the back-end architectural design of a new product we launched, the advertiser Asset Library, which involved creating a new API, services, and datastores. Currently, I am working on our initiative to help smaller businesses have easier access to higher quality creatives by giving them recommended ad generated with GAI. I am doing work to iterate on prompts we use to query for images used in the ads.
Software Engineer
Jun 2019 - Dec 2019
7 months
During the process of acquisition, Drawbridge sunset its ads and API platform to focus on the identity graph product that LinkedIn acquired us for. I switched from full-stack engineering to working on our offline Spark flows. As part of our ML team, I helped improve our workflow to increase our system's precision while maintaining the same level of recall. I developed tools to do better score bucketing to improve the precision granularity on our PR curve, and I helped develop a tool to do sampled test runs of the entire pipeline to catch issues early.
Tech Lead
Drawbridge (acquired by LinkedIn)
Jun 2017 - Jun 2019
2 years 1 month
Drawbridge applies machine learning and big data to the problem of online identity outside of a closed platform. At Drawbridge, I worked as the technical lead for the platform team responsible for building the UI for the identity graph product and the API for accessing the data within and statistics about it. During my time there, I unified an API fragmented over many different technologies to a single Express server, I migrated the entire front end stack to React/Webpack, and I built a real-time querying server using Golang.
Education
  • 2013 - 2017
    University of California, BerkeleyBachelor's Degree Electrical Engineering and Computer Science
  • Dates unavailable
    The Harker School