Soujanya Ponnapalli
Postdoctoral Scholar at SRC Research Scholars Program
Berkeley, California, United States
Summary
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Senior🎓
Top SchoolSoujanya Ponnapalli is a postdoctoral scholar at UC Berkeley’s Sky Computing Lab with a decade of experience building high-throughput distributed and storage systems. She completed a PhD at UT Austin with a dissertation on minimizing I/O bottlenecks to achieve scalable systems, and has applied that expertise across public blockchains, distributed databases, and persistent-memory key-value stores. Her current work focuses on fault-tolerant systems, efficient consensus protocols, and authenticated data structures tailored for modern storage media. She has research internships at Microsoft, VMware, and Microsoft Research Cambridge, blending practical systems engineering with rigorous academic evaluation. Known for tooling that stresses crash consistency (e.g., work related to CrashMonkey) and for pushing IO-efficiency in real-world systems, she bridges deep research with production-facing impact.
10 years of coding experience
4 years of employment as a software developer
Postdoctoral Fellow, Computer Science | EECS, Postdoctoral Fellow, Computer Science | EECS at University of California, BerkeleyDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at The University of Texas at AustinBachelor’s Degree, Computer Science and Engineering, Bachelor’s Degree, Computer Science and Engineering at International Institute of Information Technology
Github Skills (37)
markdown10
gitpod10
github-pages10
jekyll10
patricia-tree9
osdi9
reliability8
testing8
in-memory6
conversations5
github-app5
virtualization4
containerization4
slack4
append4
Programming languages (6)
Github contributions (5)
SoujanyaPonnapalli/ScalingBlockchains
Oct 2018 - Oct 2019
Contributions:102 commits, 98 pushes, 1 branch in 11 months
mcsDB/microbenchmarks
Mar 2020 - Feb 2022
PM microbenchmarks
Contributions:2 PRs, 14 pushes, 4 branches in 1 year 10 months
benchmarkmicrobenchmarks
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