Skip to content
View Lawson-Darrow's full-sized avatar

Highlights

  • Pro

Block or report Lawson-Darrow

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
Lawson-Darrow/README.md

Hey, I'm Lawson 👋

  • 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

Pinned Loading

  1. rag-conflict-eval rag-conflict-eval Public

    Catch RAG answers that mishandle conflicting evidence: false consensus, stale sources. A conflict-aware eval + diagnostic for RAG.

    Python 1

  2. Biomedical-RAG-Agent Biomedical-RAG-Agent Public

    Grounded biomedical RAG agent with a frontier-vs-open evaluation harness.

    Python 2

  3. Text-to-SQL-Finetune Text-to-SQL-Finetune Public

    Fine-tuning small open models (Qwen2.5-Coder) for text-to-SQL; execution-accuracy eval across a size ladder vs a frontier baseline.

    Python 1

  4. Brain-Tumor-MRI-Classification Brain-Tumor-MRI-Classification Public

    Brain 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

  5. Skin-Cancer-Model Skin-Cancer-Model Public

    Python

  6. Ship-Detection-Project Ship-Detection-Project Public

    Ship 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