About

Ketan Thakkar is a highly experienced Senior Engineering Manager with over 12 years of experience in the technology industry. He is currently working at LinkedIn as a Senior Engineering Manager, where he has been instrumental in leading the ramp of the first Tensor-flow deep neural network (DNN) model for search ranking, resulting in a 10% lift in search metrics. Ketan has also defined the vision and executed the scaling of the largest search index at LinkedIn by 10x through product and feature growth, driving scaling technology improvements across the infra org to achieve efficiencies. He has established well-defined metrics for machine learning improvements and its impact on site performance and availability, streamlining and communicating the process for decision making around A/B experiment ramps. Ketan has also bootstrapped search for a new product offering Talent Hub, which is LinkedIn’s Applicant Tracking System (ATS), using techniques such as transfer learning. He has rallied the team to optimize the existing system by collaborating with infra teams to innovate on technologies such as index compression, query caching, and reduced operational cost by 20% (in millions of $). Prior to his current role, Ketan worked as a Software Engineering Manager and Staff Software Engineer at LinkedIn, where he built, deployed, and scaled Tensorflow models with entity and member embeddings, improved and scaled traffic and data in data pipelines, and designed and implemented architectures to support advanced machine learning techniques. Ketan holds a Master of Science degree from Bentley University and a Bachelor of Engineering degree in Computer Engineering from Nagpur University. He has expertise in various technologies, including Senior Software Engineering, Search, Infra, AI, ML, Tensorflow, and Neural Networks. Ketan is a highly motivated and results-driven individual who invests in productivity through new tools, training, and improving deployment processes. He has a proven track record of boosting team morale and improving machine learning model performance, making him an invaluable asset to any organization.