Tanmay Sah, PhD @TanmayGradient
Creator of TanML | Agentic AI Systems | Senior Quantitative Modeler (AI/ML) Joined April 2026-
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Learning AI? Building AI agents? Moving beyond demos? Explore 12 resources covering AI agents, verification, safety, recovery, evals, system design, and LLM inference. GitHub projects, research papers, and technical talks. Pick what interests you! x.com/i/article/2113…
Built a Grok-style AI agent & Specialist Bot workspace from scratch — plus a 12-chapter book showing every line of code. Runs 100% locally on Mac (MLX / Ollama) or free cloud APIs, with DeepSearch, Think mode, Python sandbox & MCP. github.com/tradertanmay/g…
Serving an LLM is easy. Serving it efficiently at scale? That's a different challenge. On October 27, I'll be co-leading a 2-hour hands-on workshop with @hj1393 at @_odsc We'll go from single-GPU inference to distributed serving, exploring vLLM, SGLang, KV caching, and quantization. Join us! odsc.ai/speakers-portf…
First AIE Code Summit speakers: @poteto, Principal Engineer @ SpaceX @Steve_Yegge, Engineer, Writer, Advisor @zachbruggeman, Principal Software Engineer @ Ramp Nov 10-12, SF. Come hang out with us. Apply at ai.engineer/code
EvoUndo: Recoverability-Constrained Self-Evolution for LLM Agent Harnesses Tanmay Sah, Dolly Sah, Harshul Jain, Tanya Sah arxiv.org/abs/2608.28363 [𝚌𝚜.𝙰𝙸]
Open-sourcing AgentOpt One local plugin for Claude Code, Codex, Cursor & Antigravity. Smarter context. 42% fewer tokens. Automatic test verification. github.com/tradertanmay/a…
Great to see AI Agents: Zero → Hero shared by @PythonHub. Repo now include: 1) Persistent Agent: github.com/tradertanmay/a… 2) Research Agent: github.com/tradertanmay/a… If the series gets enough traction, I’ll add a much deeper section on AI agent evaluation.
ai-agents-zero-to-hero Learn AI agents from first principles to production. Zero mandatory dependencies, pure standard Python 3.11+, and no magic frameworks. github.com/tradertanmay/a…
@PythonHub Thanks for sharing! Really appreciate it. I’m continuing to expand Zero → Hero with more applied agent systems and production-grade agent projects.
it finally happened, i'm in a zoom with 3 ai's golden age of solipsism
Had an amazing time at AI Engineer NYC 2026! It was a pleasure speaking, sharing our research on 1,368 real-world AI incidents, and connecting with so many brilliant minds working on the future of AI agents. Huge thanks to the @aiDotEngineer team for putting together such a fantastic event! #AIEngineer #AgenticAI
this is what talent density means at @aiDotEngineer - @SydneyScouts runs speakers at AIE!!
When I tell you @swyx is a theater kid at heart, this is what I mean! Pipes!
Can AI agents recover when things go wrong? Our research: EvoUndo: arxiv.org/abs/2608.28363 UndoBench: arxiv.org/abs/2610.05622 Dataset: huggingface.co/datasets/Tanma… I'm also speaking at @aiDotEngineer NYC on Oct 13! Our session: "1,368 AI Failures: What They Teach Us About System Evals" ai.engineer/nyc/2026 Looking forward to connecting!
Building AI for finance? Bring the problem your team is stuck on. AI Engineer New York is now on @LumaHQ. Oct 12 to 14. Sheraton New York Times Square. Conference tickets required. Luma RSVP does not include admission. Workshops are an add-on. luma.com/6i4mqx8v
@askalphaxiv The UndoBench dataset is now available on Hugging Face: huggingface.co/datasets/Tanma… 36 workflows across 8 enterprise domains, designed to evaluate whether tool-using AI agents can actually recover from failures—not just complete tasks.
Update: UndoBench has now moved to #9 Trending on @askalphaxiv. The core question: task competence ≠ recovery capability. An agent may know how to complete a task and still fail to recover safely when execution goes wrong.
UndoBench is currently #14 Trending on @askalphaxiv If you’re interested in our other work, I’ll be speaking at @aiDotEngineer New York, Oct 12–14 — happy to connect: ai.engineer/nyc/2026
@ComputerPapers Thanks for sharing our work! UndoBench is currently #9 Trending on @askalphaxiv.
UndoBench: Separating Task Competence from Recovery Capability in Tool-Using AI Agents Dolly Sah, Tanmay Sah, Harshul Jain, Tanya Sah arxiv.org/abs/2610.05622 [𝚌𝚜.𝚂𝙴 𝚌𝚜.𝙰𝙸] 💬Code: github.com/tradertanmay/u…
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