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Siddharth Ramakrishnan

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Siddharth comes to Scale from a career at seed to Series A startups on the product and engineering side. He has been working on AI / ML since 2016 and has hands on experience using AI to solve real problems. His work included traditional ML modeling (feature engineering, model selection, training, testing) and deployment.

Most recently, Siddharth led AI products at Attentive, where he developed quality evaluation systems for AI-generated messages, implemented reinforcement learning to optimize client ROI, and led the development of user targeting models. Before that, he led product and engineering teams while contributing heavily to day to day engineering work. He has a patent on novel machine learning methods in simulation from his time at Cyence (acquired by Guidewire).

A lifelong sports fan and Bay Area teams supporter, Siddharth has gotten to combine his love of sports with his technical background through several projects. He’s worked with the San Francisco Giants on ML models for player evaluation, and in 2026 was invited to SABR (the baseball analytics conference) to present on some of his research.

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What a next‑gen DSP looks like when the interface is a conversation
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