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Miranda Jijin is a highly experienced Staff Software Engineer at Google, with a strong focus on machine learning, particularly within the TensorFlow and Keras ecosystems. She is recognized for her significant contributions to developing and improving tools and frameworks that empower developers and researchers in the AI field. Miranda is passionate about making complex AI technologies more accessible and efficient, often sharing her knowledge through technical talks and community engagement. Her work involves designing, implementing, and scaling machine learning systems and libraries.
Miranda Jijin's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Made significant code contributions and provided technical leadership in the development of TensorFlow and Keras, leading to enhanced features, better performance, and improved developer experience for a global community of AI practitioners.
Played a crucial role in building and scaling machine learning infrastructure within Google, enabling the deployment of sophisticated AI models across various Google products and services.
Frequently presents at major tech conferences (e.g., TensorFlow Dev Summit, Google I/O) and workshops, educating developers on best practices and new advancements in machine learning, TensorFlow, and Keras.
Contributed to projects and initiatives aimed at making machine learning models more efficient and deployable on edge devices, expanding the reach of AI applications.
AISECT UNIVERSITY - Year 2017
The Frank Anthony Public School, Kolkata - Year 1994
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