# Usamah Zaheer

> Machine Learning Software Engineer at Arm in Cambridge, UK. Writes about edge ML inference, ML compilers, robotics and AI systems.

Usamah Zaheer is a Machine Learning Software Engineer at Arm, where he designs and optimises ML infrastructure for Arm architectures. He is pursuing an MS in Artificial Intelligence at the University of Texas at Austin and holds an MS in Embedded Systems from the University of Leicester. His work spans deep learning, computer vision, edge computing, robotics, and MLOps across companies including Arm, Dyson, and the University of Leicester.

Every page here is also published as Markdown at its own path with `.md`
appended, generated from the same source as the page. Last updated
2026-09-15.

## Pages

- [Home](https://www.usamah.me): CV with experience at Arm, Dyson and the University of Leicester, projects, education and skills (Markdown: https://www.usamah.me/index.md)
- [About](https://www.usamah.me/about): Background, career, expertise and frequently asked questions (Markdown: https://www.usamah.me/about.md)
- [Projects](https://www.usamah.me/projects): Selected engineering projects, written up in full (Markdown: https://www.usamah.me/projects.md)
- [Blog](https://www.usamah.me/blog): All posts (Markdown: https://www.usamah.me/blog.md)
- [For AI agents](https://www.usamah.me/ai): How to read this site without parsing HTML (Markdown: https://www.usamah.me/ai.md)

## Book

- [How to Make Your Model Fast](https://ai.usamah.me): Usamah Zaheer's free book in fourteen parts on efficient machine learning, from roofline analysis and Arm vector units through kernels, compilers, quantisation and compression to vision, on-device language models, robotics, profiling, serving and agents. Its chapter index for LLMs is at https://ai.usamah.me/llms.txt

## Blog Posts

- [We Can All Bake Bread](https://www.usamah.me/blog/we-can-all-bake-bread): Usamah Zaheer on why AI letting anyone build their own software will not kill software companies. Everyone can bake bread and almost everyone still buys it, because nobody wants to be the baker. (Markdown: https://www.usamah.me/blog/we-can-all-bake-bread.md)
- [AI Is Making Everyone Sound the Same](https://www.usamah.me/blog/ai-is-making-everyone-sound-the-same): Usamah Zaheer argues that when everyone runs their thinking through the same models, outputs converge, and the scarce skill shifts from generating an answer to knowing whether it is any good. (Markdown: https://www.usamah.me/blog/ai-is-making-everyone-sound-the-same.md)
- [Stop Latency Laundering](https://www.usamah.me/blog/latency-laundering): Usamah Zaheer names latency laundering, the habit of moving delay outside the measurement boundary until a slow system reports a fast number. (Markdown: https://www.usamah.me/blog/latency-laundering.md)
- [The Next Trillion-Dollar AI Opportunity Is Not Bigger Models](https://www.usamah.me/blog/trillion-dollar-ai-opportunity): Usamah Zaheer argues the next trillion-dollar AI opportunity is not another model lab. It is the infrastructure that makes intelligence cheap enough to run on billions of devices. (Markdown: https://www.usamah.me/blog/trillion-dollar-ai-opportunity.md)
- [Inside the Black Box: ML Compiler Optimisation from a Practitioner at Arm](https://www.usamah.me/blog/compiler-optimization-for-ml): Usamah Zaheer explains ML compiler optimisation from a practitioner perspective at Arm, covering graph optimisation, kernel selection, and the profiling feedback loop. (Markdown: https://www.usamah.me/blog/compiler-optimization-for-ml.md)
- [Why Edge ML Inference is the Next Frontier](https://www.usamah.me/blog/edge-ml-inference): Usamah Zaheer explains why on-device ML inference is the future, drawing on experience optimising models at Arm and deploying perception systems at Dyson. (Markdown: https://www.usamah.me/blog/edge-ml-inference.md)
- [I Gave a Robot Eyes and a Brain: VLMs in Real-World Robotics](https://www.usamah.me/blog/vlms-in-robotics): The gap between a VLM demo on Twitter and a VLM running on a real robot is enormous. Usamah Zaheer shares what he learned closing that gap at Dyson. (Markdown: https://www.usamah.me/blog/vlms-in-robotics.md)
- [Applying CNNs to Satellite Imagery: Lessons from Forest Fire Detection](https://www.usamah.me/blog/satellite-imagery-cnns): Usamah Zaheer shares lessons from applying CNNs to high-resolution satellite imagery for forest fire detection at the University of Leicester. (Markdown: https://www.usamah.me/blog/satellite-imagery-cnns.md)
- [What I Learned Building AI Agents at a Stealth Startup](https://www.usamah.me/blog/building-ai-agents): Usamah Zaheer built AI agent systems from scratch at a stealth startup. Here is what the hype gets right, what it gets wrong, and why he chose to go back to school. (Markdown: https://www.usamah.me/blog/building-ai-agents.md)

## Machine-readable

- [Whole site as one file](https://www.usamah.me/llms-full.txt): About, expertise and every post in full
- [Structured CV](https://www.usamah.me/profile.json): work history, education, skills and publications as JSON, with a schema.org graph nested inside
- [Post index](https://www.usamah.me/posts.json): every post with dates, word counts and both URLs
- [Endpoint manifest](https://www.usamah.me/agents.json): this surface described for machines, with usage terms

## Optional

- [RSS feed](https://www.usamah.me/rss)
- [LinkedIn](https://linkedin.com/in/usamahzaheer)
- [GitHub](https://github.com/usamahz)
- [Email](mailto:usamahzaheer155@gmail.com)