# FAQ

## Who is this?

Dhairyashil R. G., a performance engineer in Bangalore. Senior Member of Technical Staff at AMD on the
uProf profiler; PhD from the Indian Institute of Science. He measures where time, cost and failures go
in compilers, parallel code and AI agents, and publishes the measurement so it can be re-run.

## What is the current role?

Senior Member of Technical Staff, AMD, profiling team (uProf), since April 2024. Before that, tech
lead on a C++/MPI particle simulator at SankhyaSutra Labs, 2018–2024.

## What are the three strongest proofs?

1. Upstream pull requests to LLVM/MLIR and Spack, 8 pull requests, 5 merged (source: src/data/prs.json (tools/fetch_prs.py), checked 2026-09-23); the live states are on [Work](/work).
2. A pass that removes every masked load from a PolyBench kernel on AArch64, 14 → 0 (source: https://github.com/llvm/llvm-project/pull/215340, checked 2026-09-22),
   taking it from 14.70 → 2.89 ms (source: https://github.com/llvm/llvm-project/pull/215340, checked 2026-09-22) wall clock. [Reproduce it](/projects/in-bounds).
3. A DSMC simulator 2× (source: SankhyaSutra Labs internal benchmark (2018–2024), résumé, checked 2026-09-21) faster than Sandia's SPARTA on the same hardware, scaled past
   100 (source: résumé, SankhyaSutra Labs, checked 2026-09-21) nodes (self-reported; internal benchmark).

## How do I reproduce a number?

Every number on the site has a receipt (hover or tap it): a source, a date checked and, where one
exists, a command. The commands for the compiler results are in
[mlir-inbounds-harness](https://github.com/dhairyashilRG/mlir-inbounds-harness); the agent studies'
run ledgers are in [agent-harnesses-2026](https://github.com/dhairyashilRG/agent-harnesses-2026).

## What is he open to?

ML compiler and inference-performance work (MLIR, LLVM, kernel and serving performance), and agent
infrastructure and evaluation. Remote or Bangalore.

## How to contact?

<a href="mailto:hello@dhairyashilrg.dev">hello@dhairyashilrg.dev</a>. Profiles:
<a rel="me" href="https://github.com/dhairyashilRG">GitHub</a>,
<a rel="me" href="https://www.linkedin.com/in/dhairyashilrg">LinkedIn</a>,
<a rel="me" href="https://www.youtube.com/@dhairyashilRG">YouTube</a>,
<a rel="me" href="https://orcid.org/0000-0003-4516-4415">ORCID</a>,
<a rel="me" href="https://scholar.google.co.in/citations?user=40V2yM8AAAAJ">Google Scholar</a>.

## How should I cite this site?

Dhairyashil R. G., dhairyashilrg.dev, the page, and the date printed on it. Machine-readable copies:
[/llms.txt](/llms.txt), [/cv.json](/cv.json).

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Updated 2026-09-22. HTML: https://dhairyashilrg.dev/faq