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Divyanshu Saxena

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@divytweet

Postdoc @Berkeley_EECS | Prev. PhD @UTCompSci, CSE @iitdelhi
Berkeley, CA divyanshusaxena.github.io Joined June 2017
415 Following 261 Followers 332 Posts

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Divyanshu Saxena Verified account @divytweet
Some overdue career updates 馃帗
This summer, I defended my Ph.D. after six golden years at UT Austin, working with exemplary supervisors and peers at the @utnslab and @ldosexpedition labs. My thesis builds abstractions and interfaces to make systems programmable, flexible, and robust.

Next, I have started in the NetSys lab at @UCBerkeley as a postdoctoral scholar. At Berkeley, I鈥檒l expand my research at the intersection of systems and agents: how do we design systems that remain performant, trustworthy, and maintainable as autonomous agents are increasingly used to build and deploy them?

Excited for what lies ahead! Stay tuned!! 馃殌
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Divyanshu Saxena Verified account @divytweet
Learned congestion controllers may not always result in good performance - even SOTA learned controllers can result in bandwidth starvation, and other types of poor behavior!

Our work on making learned controllers meet desired properties will appear at EuroSys this week!
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Divyanshu Saxena Verified account @divytweet
Thanks for featuring our article!

This blog post highlights the motivation behind and the vision for LDOS @ldosexpedition. We are actively working towards the next horizon of intelligent Operating Systems!
Tianyin Xu Verified account @tianyin_xu Feb 21
LDOS aims to build an intelligent, self-adaptive OS that uses learned policies to share resources efficiently and effectively. It presents a concrete path of using AI to rethink and redesign OS.

Divyanshu @divytweet and the @UTCompSci team, led by Prof. Akella @adityaakella, wrote a great article to share their vision, roadmap, and many exciting research directions they've made great progress on.

You can find more information at ldos.utexas.edu and @ldosexpedition.
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Divyanshu Saxena Verified account @divytweet
Our vision for using LLM-driven search for discovering better systems heuristics is set to appear at HotNets'25!

Our thesis is that we can achieve **instance-optimality** using advanced code-generation and reasoning capabilities of LLMs!
LDOS Expedition @ldosexpedition Oct 17, 2025
For decades, OSes have relied on hand-tuned heuristics. What if they could write their own?

馃敟 Meet PolicySmith, our LLM-driven framework that generates high-performing, interpretable system code.

馃搫arxiv.org/abs/2510.08803 at #HotNets25

#LDOS #MLforSystems #CodeGeneration
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