0101 · building the infrastructure AI runs on
SUZUKITARO
| Senior Rust Engineer · AI/ML Infrastructure |
About
“I'm Suzuki Taro, a senior Rust engineer who builds the systems underneath machine learning: training libraries, checkpointing, agent evaluation and LLM observability. My background is high-performance async services, FFI and distributed protocols that have to stay correct under load. A silent numerical bug or a corrupted checkpoint can cost days of GPU time, so I care about what stays true when things fail.”
Now
- 2026 →Open-source AI/ML infrastructure: FastNN, jamjet, LLM tracing
- FocusTraining correctness, evals, observability
Toolkit
- CoreRust · Tokio · FFI · unsafe audits
- AlsoPython · TypeScript · OpenTelemetry · Docker
What I do
“How can I help? I make the code that trains, evaluates and observes your models correct, fast and boring in production, from optimizer math to the trace that explains a failed agent run.”
Work
Open-source AI/ML infrastructure first, then products I have worked on. Scroll sideways, or use the arrows.
Open source
Recent pull requests, merged and in review.
- MergedFastNNReject zero-length sequences in LSTM/GRU↗
- MergedFastNNVerify MNIST download integrity before using a cached file↗
- MergedjamjetFix composite eval-score weight normalization↗
- MergedjamjetOpenTelemetry span attributes for agent-tool events↗
- In reviewFastNNFix centered RMSprop: clamp variance, move eps outside sqrt↗
- In reviewlemmaRecord handled LangChain tool errors as span errors↗
Open to remote roles · US time zones
Let's talk
Building something in AI that needs correct, fast infrastructure? I'd like to hear about it.








