Rithul Kamesh

Rithul Kamesh

Student Founder & AI Researcher

About

I build systems that have a clear purpose. In research, I work on GPU-accelerated simulation tools for optical and quantum systems. I focus on parallelization, solver efficiency, and computational throughput. Performance improvements translate directly into faster experiments and better modeling.

Badges

Tastemaker
Tastemaker
Gone streaking
Gone streaking

Maker History

  • Continuum
    ContinuumA runtime that reuses computation across AI workflows
    Apr 2026
  • 🎉
    Joined Product HuntFebruary 7th, 2022

Forums

Rithul Kamesh

17d ago

Continuum - A runtime that reuses computation across AI workflows

AI workflows today are built from disconnected calls that do not share work. The same prompts and tokens are recomputed across steps, which wastes time and cost. Continuum treats workflows as executable graphs where tokens, tensors, and tools live in one system. It can reuse shared computation, such as long prompt prefixes, and optimize execution across runs. The result is faster agents, lower costs, and a system that understands what it is doing.
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