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


