Siddarth Ramesh

VP of Product at Resident Boost

Siddarth Ramesh has worked in the field of Machine Learning since 2013. Siddarth began their career at Managing Technology Solutions International Inc. (MTSI Inc.) as a Solutions Consultant, where they wrote Java plugins to ingest data into Microsoft CRM for external clients and helped design the MTSI website. In 2014, they joined Revolution Analytics as a Data Scientist, where they built deep experience in working with different customers and delivering probabilistic solutions in R. From 2015 to 2020, they were employed at Microsoft as a Data Scientist and Data Scientist 2. During their time at Microsoft, they built chatbots, recommendation systems, and features which directly influenced the Bing search results. Siddarth also worked with external customers and partners to deliver end to end classical Machine Learning solutions using Microsoft Azure. In 2020, they joined ServiceNow as a Senior Machine Learning Engineer, where they developed a model evaluation pipeline which became an integral portion of the team's NLU shipping process. In 2022, they became a Contributing Writer for Towards Data Science and the Head of Machine Learning at Zuma, where they lead a team of Data Scientists and ML Engineers to improve the intelligence of Kelsey AI, Zuma's AI real estate assistant.

Siddarth Ramesh holds a Master of Science in Software Management from Carnegie Mellon University and a Bachelor's degree in Economics/Mathematics from the University of Southern California. Siddarth also holds a Deep Learning Specialization certification from Coursera.

Links

Previous companies

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Timeline

  • VP of Product

    April 1, 2023 - present

  • Head of Machine Learning

    March, 2022