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    Vivek Shah

    Applied Scientist at Microsoft

    Vivek Shah is an experienced Software Engineering Manager with over 18 years of experience in data center infrastructure software, mobile platforms, and advanced technologies. He is known for his project ownership and ability to build and scale new technology, manage key partnerships, and deliver on commitments.

    Vivek has a proven track record of forming, building, and growing highly productive, diversified teams of skilled engineers through hiring, coaching, mentoring, and positive leadership. He has technical experience and expertise to drive system architecture, manage project schedules, and improve product development processes and practices.

    Throughout his career, Vivek has developed technical roadmaps, defined end-to-end architecture, and deployed solutions for data center systems, mobile computing, IoT, and wearables. He has a hands-on approach to building and managing internal and external key partnerships.

    Vivek's educational achievements include a Master's degree from the University of Cincinnati and a Bachelor of Science from Maulana Azad National Institute of Technology.

    Currently, Vivek works as a Software Engineering Manager on the Google Platform Engineering team at Google. Before that, he was the Software Engineering Manager for the Advanced Technology and Projects Group (ATAP) at Google. Prior to joining Google, Vivek worked as an Android Performance Lead in the Linux Android Snapdragon Platform Group at Qualcomm.

    Before Qualcomm, Vivek was a Senior Engineering Manager and Distinguished Member of Technical Staff at Motorola. He also worked as a Protocol Design Engineer at Nokia Mobile (now Microsoft) and an Embedded Software Engineer at Hughes Inc.

    Vivek's broad skill set and unique blend of people leadership, communication skills, and technical strength have positioned him as a leader in the software engineering field.

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    Vivek Shah
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    Experience

    Applied Scientist 2 at Microsoft since March 2023, working on Recommendations at Bing with a focus on Ranking and Large Language Models
    Past roles include Applied Research Scientist at Meta, Machine Learning Engineer at Abnormal Security, and various internships including Quantitative Researcher Intern at Coinbase and Software Engineer Intern at Amazon

    Education

    Graduate Teaching Assistant at Columbia University Department of Computer Science, teaching courses like Advanced Database Systems and Competitive Programming

    Location

    San Francisco Bay Area