Akash Srivastava

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@variational_i

Director, Core AI, IBM. Chief Architect instructLAB.ai . Founder, Red Hat AI Innovation Team. PI @MITIBMLab. ❤️ Density Ratios.

Cambridge, MA github.com/akashgit/remot… Joined July 2009

1.2K Following 1.3K Followers 648 Posts

Latest posts 5

Akash Srivastava @variational_i Jul 30

Presenting at ICLAD 2026 (Stanford, Jul 30–31): general-purpose coding agents, no hardware-specific training, optimizing HLS designs. Decompose → ILP-assemble → scale N expert agents on the best candidates. 1→10 agents = mean 8.27× speedup across 12 kernels, >20× on streamcluster.

Interested in creating your own agent factories for hard problems, check this out: github.com/akashgit/remot…

w/ @Abhi_1092, Mihir Choudhury, Ruchir Puri
arxiv.org/abs/2603.25719

github.com GitHub - boston-harness-group/remote-factory: Domain-agnostic multi-agent software design and... Domain-agnostic multi-agent software design and evolution harness - boston-harness-group/remote-factory

Akash Srivastava @variational_i Jul 16

MIT News wrote up this work — how GIFT bootstraps image-to-CAD training data from the model's own failures (execute the code, score with geometric feedback, repair near-misses into supervision).

news.mit.edu/2026/turning-2…

news.mit.edu A better way to turn 2D designs into 3D models for rapid prototyping “GIFT” is a new system that teaches vision-language generative AI models to produce accurate, computer-aided design (CAD) programs that can be used to simulate and test 3D objects. The method is more...

Akash Srivastava Verified account @variational_i Jul 6

Two papers from our team at #ICML2026 🎉

1️⃣ ePF: fixes premature exploitation in particle filtering for inference-time scaling — up to 50% relative gains on hard math.
📄 icml.cc/virtual/2026/p…

2️⃣ GIFT: image→CAD program synthesis using a CAD kernel as verifier to bootstrap training data — matches heavy test-time scaling with 80% less compute.
📄 icml.cc/virtual/2026/p…

Congrats to Giorgio Giannone, friends and collaborators from @xukai92 and @_faezahmed 's amazing teams!

At ICML? Working on inference-time scaling, test-time training, SWE harness design, or engineering/math/science discovery? DM or come find me at the posters — let's chat 🙌
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Akash Srivastava @variational_i Jul 6

Two papers from our team at #ICML2026 🎉

1️⃣ ePF: fixes premature exploitation in particle filtering for inference-time scaling — up to 50% relative gains on hard math.
📄 icml.cc/virtual/2026/p…

2️⃣ GIFT: image→CAD program synthesis using a CAD kernel as verifier to bootstrap training data — matches heavy test-time scaling with 80% less compute.
📄 icml.cc/virtual/2026/p…

Congrats to Giorgio Giannone, friends and collaborators from @xukai92 and @_faezahmed 's amazing teams!

At ICML? Working on inference-time scaling, test-time training, SWE harness design, or engineering/math/science discovery? DM or come find me at the posters — let's chat 🙌

Akash Srivastava @variational_i Jun 17, 2025

What does it take to scale AI beyond the lab?

At #RedHatSummit, @ishapuri101 and I spoke with Red Hat CEO Matt Hicks & CTO Chris Wright on inference-time scaling, open infra (LLMD), and making AI affordable for enterprise.

🎧 youtu.be/mj1dwrPfvb4
#NoMathAI @RedHat_AI

Akash Srivastava @variational_i Apr 24, 2025

🚀 How is generative AI transforming the way we design cars, planes, and entire systems?

In Ep 2 of No Math AI, @ishapuri101 and I chat with Dr. @_faezahmed (@MIT DeCoDE Lab) about how AI boosts creativity, cuts design time, and works with engineers—not against them.

Red Hat AI Verified account @RedHat_AI Apr 24, 2025

How is generative AI reshaping engineering design?

In Episode 2 of No Math AI, hosts Dr. Akash Srivastava (@variational_i) and MIT PhD student Isha Puri (@ishapuri101) sit down with Dr. Faez Ahmed (@_faezahmed) from MIT DeCoDE Lab to explore just that. 👇
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