Saksham

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Saksham

Saksham

@sgdescent

Interested in making LLMs go brrrrr x+N: @datologyai and @openai x: @LTIatCMU x-N: https://t.co/ht5ObQh7RV & Program Synthesis with LLMs @ProseMsft

Pittsburgh Katılım Şubat 2021
1.8K Takip Edilen1.2K Takipçiler
Jonghyun Choe
Jonghyun Choe@jonghyunc_·
A younger friend asked about my plan for the future in MLSys space out of worry from AI-generated coding. On one side, there's efforts to automate optimizations and kernels through compiler and AI, and on the other side, there's kernel engineers doing manual optimizations to squeeze the performance to the last drop. With inference demand for coding agents exploding and new Rubin GPU architecture coming out, there's always incentives to achieve maximum performance and I don't think the demand for strong kernel engineers will go away within next 2-3 years. But AI-generated kernels are improving quickly, and ignoring this trend would be at fault too. My plan is to develop expertise in kernel / compiler / scheduling layer and agentic systems at the same time so I can operate in both roles. Currently, I am working on manual kernel performance and AI-generated kernels in the lab, and in the summer, I will be working on automatic inference optimization at Nvidia. Given how quickly the field is changing, it’s better to stay flexible rather than having one fixed plan across the timeline.
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Saksham
Saksham@sgdescent·
One of my really goated friends @SCSatCMU is looking for an ML Research/Engineer intern for the summer rajworking.github.io. @Dogged_Raj His offer got rescinded due to unfortunate circumstances. Hire him!
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Zhihao Jia
Zhihao Jia@JiaZhihao·
The MLSys’26 program is live! Check out the accepted papers: mlsys.org/virtual/2026/p… This year marks several exciting firsts: • 28 industry track papers bridging MLSys research & real-world deployment • Our inaugural competition track featuring AWS Trainium, Google Graph Scheduling, and NVIDIA FlashInfer AI Kernel contests Early registration deadline: April 1 — don’t miss it! See you in Seattle this May🌲
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Saksham
Saksham@sgdescent·
Gemini and the Autocompletion model @cursor_ai both use some really funny data. I wish people could identify source of janky data, and there was some effort in removing that :)
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Pratyush Maini
Pratyush Maini@pratyushmaini·
If I had to compress my PhD into one idea, it is this "The data a model sees early in training leaves an imprint on its representations that is very hard to undo later" This thread runs through - Rephrasing the Web - Safety Pretraining - TOFU This is the Finetuner’s Fallacy🧵
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Aflah 🍉🕊️
Aflah 🍉🕊️@Aflah02101·
Hi Everyone I'm looking for interesting research scientist/engineer roles around LLM pretraining, studying behavior of agentic systems and just doing cool LLM research overall. If my work interests you and you're hiring feel free to DM/email/reply here!
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Bhutani
Bhutani@justbhutani·
If you believe the future of autonomy will be built on hardware like this, we should talk. We’re building real-world AI systems and robots at JustJust AI — and we’re hiring. Email me at bhutani@justjust.ai Hiring in San Francisco/Gurgaon and Shenzhen
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Saksham
Saksham@sgdescent·
Started a ml sys reading group with friends @SCSatCMU Systolic arrays are so cool!
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Saksham@sgdescent·
Why do Einops even exist
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Peng Qi
Peng Qi@qi2peng2·
My team at @Uniphore is hiring summer research interns for 2026! If you are a highly motivated graduate student in the US, interested in working on Language Agents (tool use, agent design, agent evaluation, agent optimization, etc.) or small models (efficient training, efficient serving, data synthesis techniques, RL), you should consider us! We are a team with collective research exprience from Stanford, Google DeepMind, AWS AI, Apple, and more. We just published 3 papers at ICLR this year, check them out: 1. WARC-Bench (GUI agents): arxiv.org/abs/2510.09872 2. PolySkill (agent skill induction): arxiv.org/abs/2510.15863 3. EvoPresent (presentation generation from academic papers): arxiv.org/pdf/2510.05571 If you are interested, please send your resume and a brief note about your research interests to peng.qi+intern2026@uniphore.com, and we will be in touch shortly!
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Saksham@sgdescent·
She is interested in exploring Vision, Planning, and Control, but is open to doing anything cool with robots! RT's appreciated <3
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Saksham@sgdescent·
Twitter, do your thing. My girlfriend, who is an MS robotics student @SCSatCMU, is looking for a summer internship! She is interested in working at the intersection of Robotics+ML, was an intern at @Google, and did her undergrad at @IITKanpur
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Vedant Agarwal
Vedant Agarwal@V_Agarwal1·
We’re quietly assembling a small, elite team at @InceptLabsAI to work on long-horizon AI research that actually matters. Roles: AI/ML researchers (strong preference for people already doing frontier-level work). If you’ve built something real (papers, open-source, strong internal research, shipped systems), we’d love to talk. Stealth mode • best-in-class resources • equity that reflects the risk/reward. If this sounds like your next chapter, reach out → DMs open 🚀
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Novak Djokovic
Novak Djokovic@DjokerNole·
Lost for words 🇦🇺
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Saksham
Saksham@sgdescent·
@harshitj__ My friend tells me your French is bad! You seem to be missing a verb. Please attend classes more diligently
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Harshit Joshi
Harshit Joshi@harshitj__·
i am taking french language class this quarter and the week 3 comprehension assignment is about AI and agents. “La vie très difficile mon amie”
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Saksham@sgdescent·
@sarahookr Food recommendations for Delhi: - Indian Accent, their tasting menu is a must-try! - Gulati's and Havemore in Pandara Road have amazing Butter chicken - Kwality's Chole Bhature
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Sara Hooker
Sara Hooker@sarahookr·
I'm really looking forward to also getting to know the AI ecosystem in Delhi (for the summit) + Bangalore. If you have recommendations of initiatives I should visit or people I should meet while I'm there, send them my way.
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Sara Hooker
Sara Hooker@sarahookr·
My first trip to India is next month. I'm honored to be attending the India-AI Impact Summit 2026. Truly very meaningful given our commitment @adaptionlabs to building global technology and ensuring language coverage.
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Akshat Bubna
Akshat Bubna@akshat_b·
Insane that @tryramp's internal coding agent is already 30% of their merged PRs. Give your agent the gift of a @modal sandbox today, and see how much more it can do.
Zach Bruggeman@zachbruggeman

The craft of engineering is rapidly changing. At @tryramp, we built our own background coding agent to accelerate faster. We call it Inspect. It wrote 30% of merged frontend + backend PRs in the past week. It’s powered by @opencode, @modal and @CloudflareDev. It runs fully in the cloud, and starts in seconds, letting every builder work at the speed of thought, no setup required. Today, we’re open sourcing the full blueprint so anybody can build their own Inspect. Just give our spec to your current coding agent, and let it build your new favourite.

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