Eric Schmidt is a senior product leader with 11+ years driving data and developer platforms at Google and Microsoft, currently optimizing workflows for data engineers, scientists, and analysts at Google. He was the founding PM for Cloud Dataflow and led BigQuery product strategy for generative AI and SQL/ML extensions, pairing deep technical fluency with go-to-market execution. Eric has built and scaled global developer advocacy and engineering teams, delivering industry-first work such as a Cannes Lions–winning real-time ML ad campaign and enabling major customers like Spotify, MLB, and Goldman Sachs. His background spans product, evangelism, and hands-on engineering contributions across Google Cloud client libraries and samples (Java, Go, Python, Node.js, .NET), demonstrating continuous open-source impact on BigQuery, Vertex AI, and Cloud APIs. A former Sr. Director at Microsoft and ex-consultant at PwC, he combines enterprise delivery experience with a penchant for translating complex analytics and AI concepts into usable products. Based in Seattle, he also serves as an educator and connector between industry and academia (MIT), reflecting a rare blend of product vision and developer empathy.
11 years of coding experience
11 years of employment as a software developer
Cert Computer Science, Cert Computer Science at University of Washington
BS Organizational Design, BS Organizational Design at Penn State University
Contributions summary:Eric's commits primarily involve developing and testing back-end functionality for a Hangouts Chat bot. The user implemented core features for processing different event types, including handling messages, and reacting to the bot being added to spaces. The contributions are focused on Python, including the use of Flask for handling requests and responses, which supports the functionality of the Google Chat bot. These commits demonstrate a focus on defining bot behavior and integrating with the Hangouts Chat platform.
A Python SDK for Vertex AI, a fully managed, end-to-end platform for data science and machine learning.
Role in this project:
ML Engineer
Contributions:43 reviews, 53 commits, 31 PRs in 11 months
Contributions summary:Eric implemented text batch prediction samples for Vertex AI, demonstrating expertise in deploying and utilizing models for NLP tasks. They added and modified code related to batch prediction jobs for sentiment analysis, entity extraction, and text classification. The contributions included creating test cases, modifying existing code, and ensuring the functionality of the text batch prediction feature.
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