Adam Siwiec
I build systems that don’t touch the ground. Cooking with ideas in model scaling, distributed systems, kernels, and cloud; also poetry and biology.
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Interactive model playground
Where this token is attending
A tiny model, explained
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The nerdy details
1M parameters · 5 layers · 8 heads · INT8 weights. MFU compares inference with a local JS benchmark, not hardware peak. How it works ↗
A few stops
along the way.
Systems foundations.
ML infrastructure.
Models and evaluation.
- 2023–Present
Tesla
Senior Autopilot Engineer
- Build infrastructure for Autopilot models and evaluation.
- Work on distributed systems for large-scale ML.
- Develop profiling and observability tools.
- Improve model evaluation and research iteration loops.
- 2021–2023
NVIDIA
Software Engineer · Intern
- Built cloud and ML platform infrastructure.
- Worked on distributed services and Kubernetes.
- Developed tooling to deploy and debug ML workloads.
- Focused on reliability of ML systems at scale.
- 2019–2023
Stanford
Computer Science · Systems
- Studied operating systems and distributed computing.
- Focused on networking and machine learning.
- Explored the software and hardware beneath ML.
About me
San Francisco, California
I’m Adam Siwiec, a machine-learning systems engineer based in San Francisco.
I’m most interested in the layers underneath modern machine learning: how models are trained and evaluated, how they run across distributed systems, and how software and hardware choices shape their performance. A lot of my side projects come from pulling on one of those threads until it turns into something I can build, measure, or make interactive.
Outside of work, I spend a lot of time cycling and lifting, usually with the same tendency to measure and optimize things that shows up in my software projects. I also like being outdoors, experimenting with coffee, gardening, traveling, and disappearing down technical rabbit holes for no especially good reason.
Projects
Things I built from scratch, you know, before it was easy :)