Kenny Wibowo is a Staff Software Engineer based in the San Francisco Bay Area with 11 years of experience building large-scale ML data infrastructure and production ML services at Google. He’s deeply product-focused and hands-on, having designed and delivered a ground-up data collection platform that amassed billions of datapoints and petabytes of data to support frontier model pretraining, SFT/RL, and evaluation for Gemini and other generative AI efforts. At Google Labs he now evaluates and serves cutting-edge generative models, bringing research prototypes into robust, scalable systems—continuing a pattern from earlier roles where he converted research into cloud services and full-stack microservices. Known for tackling ML bias through infrastructure and for leading teams end-to-end, he pairs strong engineering craft (Java, Python, web stacks, distributed systems) with a clear product sensibility. A longtime coder who also started in embedded systems and education, he combines low-level systems experience with a rare focus on data quality and real-world model impact.
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