Asim Biswal

Graduate Student Researcher

Pleasanton, California, United States
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Summary

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Asim Biswal is a Ph.D. candidate and graduate student researcher at UC Berkeley’s Sky Computing Lab with eight years of experience building large-scale data systems and integrating them with large language model workflows. His work spans research-grade systems like Skyplane (NSDI 2023) for high-throughput cross-cloud transfers and resource-allocation tooling focused on fairness and utility for cluster scheduling. He’s delivered production features during internships at Apple and Roblox—optimizing caching and object-storage inventory at massive scale—and has applied ML to real-world sensing problems at Basil Labs. A strong EECS background (3.97 GPA) and hands-on experience across C++, Python, TensorFlow, and cloud-native platforms let him bridge systems research and deployable engineering. Colleagues describe him as someone who pairs rigorous academic inquiry with pragmatic, performance-first implementations that scale.
code9 years of coding experience
job4 years of employment as a software developer
bookBachelor's degree, Electrical Engineering and Computer Science, 3.97/4.00, Bachelor's degree, Electrical Engineering and Computer Science, 3.97/4.00 at University of California, Berkeley
bookValedictorian (4.53/4.00 GPA), Valedictorian (4.53/4.00 GPA) at Foothill High School
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Stackoverflow

Stats
1reputation
0reached
0answers
0questions
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Github Skills (26)

cloud-computing10
sky10
gcp10
rsync10
aws10
data-transfer10
azure10
replication10
multicloud9
azure-blob-storage8
distributed-file-system7
spider5
python5
semantic-search4
language-model4

Programming languages (4)

CHTMLJupyter NotebookPython

Github contributions (5)

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TAG-Research/TAG-Bench

Nov 2024 - Apr 2025

TAG-Bench: A benchmark for table-augmented generation (TAG)
Contributions:7 pushes, 1 branch, 1 comment in 4 months
AgentSmithLab/TK-Boost

Feb 2026 - Mar 2026

A bolt-on framework for augmenting any NL2SQL agent with tribal knowledge: knowledge that corrects the agent’s misconceptions in querying the database accumulated through experience using the database.
Contributions:15 pushes, 2 branches in 1 month
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