- Mostly computer vision and applied LLM systems (RAG, fine-tuning, model eval)
- Just wrapped a B.S. in CS at Florida Tech
- Currently building rag-conflict-eval: catching RAG answers that fake a consensus when their sources actually disagree
- Supporting the open source libraries and tools I build on
- More at ledarrow.dev
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Florida Institute of Technology
- Austin TX
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12:22
(UTC -05:00) - https://www.ledarrow.dev/
- in/lawson-darrow
- @lawson_darrow
Highlights
- Pro
Pinned Loading
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rag-conflict-eval
rag-conflict-eval PublicCatch RAG answers that mishandle conflicting evidence: false consensus, stale sources. A conflict-aware eval + diagnostic for RAG.
Python 1
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Biomedical-RAG-Agent
Biomedical-RAG-Agent PublicGrounded biomedical RAG agent with a frontier-vs-open evaluation harness.
Python 2
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Text-to-SQL-Finetune
Text-to-SQL-Finetune PublicFine-tuning small open models (Qwen2.5-Coder) for text-to-SQL; execution-accuracy eval across a size ladder vs a frontier baseline.
Python 1
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Brain-Tumor-MRI-Classification
Brain-Tumor-MRI-Classification PublicBrain tumor MRI classification: ViT-B/16 vs CNNs vs classical, trained to convergence with a perceptual-hash data-leakage audit and dual official/deduplicated eval (94.9% / 87.8% acc, 0.99 AUC).
Jupyter Notebook
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Ship-Detection-Project
Ship-Detection-Project PublicShip detection & localization in satellite imagery: YOLOv8 + Faster-RCNN on ShipRSImageNet with COCO mAP/IoU and area-stratified AP (0.80 mAP@0.5, 3-seed).
Jupyter Notebook 1
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