Seda Davtyan is a Staff Engineer at Spotify, where they focus on developing distributed and fault-tolerant algorithms. Their research includes decentralized network supercomputing and resource discovery in failure-prone environments. Previously, Seda held roles as a Senior Data Engineer and Data Engineer at Spotify, alongside experience as a Data Science Engineer at Aetna and a Data Engineer at JW Player. They also contributed significantly as a Research Assistant and Senior Research Scientist at the University of Connecticut, coordinating projects related to electronic voting technologies. Seda is currently pursuing a Ph.D. in Computer Science & Engineering at the University of Connecticut, in addition to holding multiple degrees in applied mathematics and computer science.
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