Arnabjyoti Kalita is a PhD student in Computer Science at the University of Virginia with 11 years of industry experience building high-performance systems and security-focused tooling. His work spans kernel- and network-level engineering—shipping a Windows agent and high-bandwidth DPI modules at Deepfence and prototyping hardware register-file optimizations during an Intel Labs internship. He has researched memory-architecture effects on filesystem metadata lookups and develops microbenchmarks and mechanisms to drive practical optimizations. Prior roles include sustaining large enterprise applications and building XML-to-SQL converters for Sony DADC, reflecting strong full-stack systems and data-layer skills. Based in Charlottesville, he blends rigorous academic research with hands-on production delivery and a knack for squeezing performance out of constrained environments. Notably, his background bridges low-level systems engineering and applied research, making him effective at translating theoretical ideas into deployable solutions.
11 years of coding experience
6 years of employment as a software developer
Bachelor's Degree, Computer Science, First Class, Bachelor's Degree, Computer Science, First Class at National Institute of Technology, Silchar
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Virginia
Official QEMU mirror. Please see http://wiki.qemu.org/Contribute/SubmitAPatch for how to submit changes to QEMU. Pull Requests are ignored.
Contributions:3 PRs, 222 pushes, 4 branches in 4 years 9 months
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Arnabjyoti Kalita - PHD Student at University of Virginia