Benchmark and evaluation systems for VLM research
Built evaluation paths that keep model comparisons useful for curation decisions and model iteration.
Current Datology work
Current systems work for multimodal training
The current emphasis is research engineering for multimodal training and evaluation, with a bias toward faster iteration.
At Datology, I build the systems that make VLM training and evaluation more reliable in practice.
Multimodal data curation and export pipelines
Built ingestion and export paths that make large multimodal corpora easier to train on and inspect.
Distributed training and launch infrastructure
Added vLLM eval support and hardened multi-node launch plus checkpoint behavior for faster experimental turnover.
Selected public work
Public projects and research artifacts
Selected public projects presented as quieter portfolio entries rather than product tiles.
