Konrad Sliwiak is a distinguished Staff Software Engineer and Researcher at Google, based in Zurich. He is a key figure in the TensorFlow Extended (TFX) team, specializing in Machine Learning Operations (MLOps) and the development of scalable, production-ready AI systems. His work often revolves around building robust infrastructure for machine learning, enabling efficient model training, deployment, and monitoring. Konrad is passionate about advancing the field of AI, with a focus on practical applications, on-device machine learning, and fostering the open-source community around TensorFlow. He has a strong background in computer science and a track record of contributing to impactful projects that bridge the gap between research and real-world AI solutions.
Konrad Sliwiak's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Played a pivotal role in the development and enhancement of TFX, Google's end-to-end platform for deploying production ML pipelines, significantly impacting how large-scale ML models are built and managed.
Championed and implemented best practices in Machine Learning Operations (MLOps), improving the reliability, scalability, and efficiency of ML model lifecycles within Google and for the wider TFX user community.
Contributed to research and engineering efforts focused on making machine learning models more efficient for deployment on edge devices, enhancing user privacy and enabling new AI applications with low latency.
Frequently shares his expertise through tech talks, conference presentations (e.g., TensorFlow Dev Summit, Google I/O), and online content, educating developers and researchers on advanced ML concepts and TensorFlow technologies.
Monmouth University - Year 2016
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