Nick Wall
Engineering & Research Lead
Building AI systems that work in the real world. Currently focused on applied machine learning research, scalable infrastructure, and turning research into production systems.
Recent Work
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TAVA - A Novel Method for Label-Free Embedding Compression
Ongoing research on compressing text embeddings without labeled data, using a novel two-stage distillation approach with generative adversarial adapters.
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Loadax - High-Performance Data Loading for JAX
A JAX-native dataloading library with prefetching, multi-worker support, and distributed loading for ML training pipelines.
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Scratch
Machine learning architectures and methods implemented from scratch.
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Menagerie
A menagerie of deep learning models and techniques.
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Outcomes
A typescript library adding monadic control flows.