---
title: "Asma Beevi"
category: "people"
role: "Senior Engineer"
company: "NVIDIA"
linkedin: "https://www.linkedin.com/in/asma-beevi-k-t-433053a2"
website: "https://realasma.github.io"
sourceLabels: ["Official speaker roster", "Official conference schedule"]
---
# Asma Beevi

## Profile
Senior Engineer at [[nvidia|NVIDIA]].

- [LinkedIn](https://www.linkedin.com/in/asma-beevi-k-t-433053a2)
- [Website](https://realasma.github.io)

## Biography
Asma Beevi K T is a senior engineer at [[nvidia|NVIDIA]], developing the [[nvidia|NVIDIA]] TensorRT Model Optimizer toolkit. Her interests span training and inference optimizations for deep learning models, particularly LLMs.

## Conference Sessions
- [[2026-07-01-chris-alexiuk-compression-at-the-edge]] — Compression at the Edge (2026-07-01, 2:25pm-2:45pm)
- [[2026-07-01-chris-alexiuk-compression-at-the-edge-2-50pm-3-10pm-track-4-519]] — Compression at the Edge (2026-07-01, 2:50pm-3:10pm)

## Evidence Graph
This evidence graph summarizes how this person appears across the conference source graph: scheduled sessions, linked videos, transcripts, and slide-derived evidence.

### Linked Sessions
- [[2026-07-01-chris-alexiuk-compression-at-the-edge|Compression at the Edge]]
- [[2026-07-01-chris-alexiuk-compression-at-the-edge-2-50pm-3-10pm-track-4-519|Compression at the Edge]]

### Media Signals
- `youtube-OV56RddyFuU` — 6 slide-derived text signals
- Slide-derived themes for `youtube-OV56RddyFuU`: models, does, matter, absolute, control, over, cost, reduction.
- Evidence links for `youtube-OV56RddyFuU`: [[youtube-OV56RddyFuU]], [[youtube-OV56RddyFuU-slides]], [[youtube-OV56RddyFuU-dense-slides]], [[youtube-OV56RddyFuU-reconstructed-slides]]
