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I build systems I want to understand.
Backend, ML, and LLMs.
Python · Rust · Go
Python
Rust
Go
A Rust ONNX inference server with batch execution, schema-aware model loading, version routing, and Redis caching.
A Go-based distributed scheduler for efficiently managing multi-GPU machine learning training workloads.
Portable HTML reports for h5i browser audits
Rust 2
MLLoop is a modular continuous training pipeline for automating model retraining, evaluation, and deployment
Lightweight Rust engine for model-vs-model and adversarial LLM evaluation.
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