Nikil Shyamsunder । निखिल् श्याम्सुन्दर् ।

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I study computer science and mathematics at Cornell University. I am broadly interested in formal methods, high-performance computing, compilers, and computer architecture.

I work on Protocols, a DSL for specifying the communication of digital circuits, in the Computer Architecture and Programming Abstractions Lab (Capra) under Adrian Sampson. In Spring 2026, I was at AWS Annapurna Labs working on formal verification and graph-level optimizations for the Neuron compiler for Trainium.

I enjoy hiking, snowboarding, classical languages (Latin and Sanskrit), and recently, Victorian literature.


News

Aug 04, 2026 Our paper (from my time at AWS) on “A Barrier-Free Synchronization Algorithm for Multi-Engine AI Accelerators” was accepted to CGO ‘27.
Jul 22, 2026 My work on “Formal Performance and Compile Time Guarantees for Compiler Optimization Heuristics” was accepted to the FMCAD ‘26 Student Forum.
May 06, 2026 I gave an invited talk at UC Berkeley’s Slice Lab on our Protocols DSL.
Mar 05, 2026 I was inducted into Cornell’s chapter of the Phi Beta Kappa Honor Society.
Dec 16, 2025 Cynthia and I published a blog post on building a backend for Allo accelerator design DSL to Google’s XLS for ASIC synthesis.
Oct 10, 2025 Our work on the Protocols DSL was accepted to the FMCAD ’25 Student Forum, where I presented in October.

Research

Talks

  • Formal Performance and Compile Time Guarantees for Compiler Optimization Heuristics
    Student Forum Talk and Poster, FMCAD '26, Sep 2026
  • Specifying Hardware Communication as Programs
    Invited Talk, UC Berkeley EECS SLICE Lab, May 2026 [Slides PDF]
  • Building an Interpreter for an Imperative Hardware Interface Specification Language
    Student Forum Talk and Poster, FMCAD '25, Oct 2025 [Poster PDF]

Experience

  • AWS Annapurna Labs (Jan 2026 – Present)
    Formal verification of compiler passes in Lean 4 and graph-level optimizations for the Neuron compiler.
  • Lumen Technologies (May 2025 – Aug 2025)
    Engineered scalable AWS-based data pipelines and dashboards in Angular to process and visualize real-time network threat intelligence for millions of IPs.
  • Beacon Platform (May 2024 – Aug 2024)
    Built a full-stack testing dashboard and root-cause analysis system, reducing regression failures by 22%.

Teaching


Writing