Daniel Galdi is a Senior Software Engineer with 13 years of experience building backend systems for large-scale cloud and research platforms, currently at Microsoft after a multi-year tenure at Amazon and the University of Pennsylvania. He has deep experience in cloud infrastructure and migration services, including designing placement algorithms and asynchronous evaluation engines for EC2 Spot, and has improved testing and deployment velocity through re-architected frameworks. At UPenn he translated large biological datasets into performant streaming APIs and cut visualization latencies by an order of magnitude, showing a knack for applying engineering rigor to research needs. He mentors engineers, authors technical proposals that guide architecture, and drives cross-team improvements to testing and operational prioritization. Based in Philadelphia, he blends systems-level algorithmic thinking (including mixed-integer programming for placement problems) with pragmatic delivery of production services.
13 years of coding experience
10 years of employment as a software developer
Bachelor of Science (BS) Computer Science, Bachelor of Science (BS) Computer Science at University of Maryland
Facilitates download of raw dataset files with access restrictions
Contributions:3 reviews, 12 PRs, 17 pushes in 2 years
facilitatespythondatasetrestrictions
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Daniel Galdi - Senior Software Engineer at Microsoft