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Vignesh Murali Bhat is a highly accomplished Senior Staff Software Engineer at Google, based in the San Francisco Bay Area. With approximately 10 years of experience at Google (as of early 2024, having joined in late 2014), he has established himself as an expert in building large-scale distributed systems, machine learning infrastructure, and cloud computing solutions. Vignesh has a strong background in software architecture and has been instrumental in developing and enhancing critical components of Google's ecosystem, particularly in the realm of MLOps (Machine Learning Operations) and AI platforms. He is known for his contributions to projects like TensorFlow Extended (TFX) and Google Cloud AI Platform, focusing on enabling robust, scalable, and efficient machine learning pipelines for both internal Google products and external customers. Vignesh holds a Master's degree in Computer Science from Stanford University and a Bachelor's degree in Computer Science and Engineering from PES Institute of Technology. He is passionate about leveraging cutting-edge technology to solve complex real-world problems and frequently shares his insights through technical blogs and potentially conference talks.
Vignesh Murali Bhat's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Played a significant role in the architecture, development, and adoption of TensorFlow Extended (TFX), Google's end-to-end platform for deploying production ML pipelines, which is used extensively within Google and by the open-source community.
Led and contributed to engineering efforts for MLOps capabilities within Google Cloud AI Platform, empowering enterprises to build, deploy, and manage machine learning models at scale with greater efficiency and reliability.
Achieved the distinguished role of Senior Staff Software Engineer at Google, a position indicative of deep technical expertise, significant impact on critical projects, and leadership within the engineering organization.
Contributed to the design and implementation of scalable and resilient distributed systems tailored for machine learning workloads, enhancing the performance and reliability of Google's ML infrastructure.
Newcastle Business School, U - Year 2005
Indian School of Business - Year 2022
RKM Vivekanda college - Year 2002
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Equitas Small Finance Bank is a New Age Bank that provides a range of banking and financial services to individuals and micro, small, and medium enterprises (MSMEs) across India. It commenced operations as a Small Finance Bank in September 2016 after receiving its license from the Reserve Bank of India. The bank focuses on financial inclusion for unserved and underserved segments of the population, offering products like savings accounts, current accounts, term deposits, loans (including microfinance, vehicle loans, housing loans, MSME loans), and various digital banking solutions. It aims to provide accessible and affordable banking services, leveraging technology to enhance customer experience and operational efficiency.
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