# Manu Nicholas Jacob

> Hardware engineer at Dell Technologies (enterprise AI server platforms) and
> independent researcher on edge machine-learning systems. Austin, Texas.

The research thesis: the memory wall, not compute, governs deep-neural-network
inference on real hardware. Nine papers, each backed by a public, DOI-archived
artifact measured on physical hardware (Raspberry Pi 5 / Arm Cortex-A76,
hardware performance counters, on-board power telemetry).

## Pages

- [Research](https://manunicholasjacob.com/research): full publication record with statuses, headline results and artifact DOIs
- [Projects](https://manunicholasjacob.com/projects): open-source research artifacts, tools and award-winning hardware builds
- [Lab](https://manunicholasjacob.com/lab): the measurement bench and the methodology rules
- [Writing](https://manunicholasjacob.com/writing): notes on systems engineering and measurement
- [About](https://manunicholasjacob.com/about): background, experience, education, patent
- [CV](https://manunicholasjacob.com/cv): one-page curriculum vitae
- [Now](https://manunicholasjacob.com/now): what is currently in flight

## Identity

- GitHub: https://github.com/manunicholasjacob
- ORCID: https://orcid.org/0009-0007-6589-6572
- Google Scholar: https://scholar.google.com/citations?user=inrrUQIAAAAJ
- Email: manunicholasjacob@gmail.com