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I'm a Senior Software Engineer Google Research. My work is focused on advancing the state-of-the-art in systems using machine learning.
Prior to joining Google I received a Ph.D. in Computer Science from Cornell University. During my Ph.D. I focused on building Distributed Systems that rely on strong foundations in Distributed Systems Theory. I specialized in consensus protocols (Paxos Made Moderately Complex), replication (Chain Replication, OpenReplica) and evolving systems (Ovid/Transformations).
In addition to my technical work, I serve as a [PC member]({{ site.baseurl }}/conference/) in Distributed Systems and DEI Conferences, mentor students and junior engineers, give [talks/guest lectures]({{ site.baseurl }}/talks/).
You can contact me at [hello@{{ site.address }}](mailto:hello@{{ site.address }})
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I gave a guest lecture at MIT about Learned Indexes for a Google-scale Disk-based Database. October, 2021
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I will be serving as an industrial PC Member for EDBT'22. October, 2021
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I will be serving as a PC Member for OSDI'22. October, 2021
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I will be serving as a PC Member for ML for Systems at NeurIPS. August, 2021
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Our paper Snowboard: Finding Kernel Concurrency Bugs through Systematic Inter-thread Communication Analysis has been accepted to SOSP'21. August, 2021
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I moved to Google Research to focus on building learned systems full-time. May, 2021
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I'll be co-organizing the Preview Sessions at OSDI'21. April, 2021
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I will be serving as a PC Member for FAST'22. April, 2021
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Presented Learned Indexes for a Google-scale Disk-based Database at LinkedIn. January, 2021