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.
8 years of coding experience
4 years of employment as a software developer
Bachelor'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
Valedictorian (4.53/4.00 GPA), Valedictorian (4.53/4.00 GPA) at Foothill High School
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