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colesmcintosh/README.md

Cole McIntosh

Full Stack Engineer & Founder

About

Full stack engineer specializing in LLMs and AI, building end-to-end applications that span modern front-end interfaces and scalable back-end systems. Focused on AI-powered solutions including agentic workflows, RAG pipelines, and LLM-based data extraction frameworks. Experienced across the full technology stack, deploying production systems on AWS, Azure, and GCP while contributing to open-source AI frameworks that reduce complexity through clear abstractions and intentional design. Creator of Open Xtract, a library for LLM-powered structured data extraction with durable execution.

Tech Stack

Languages & Frameworks TypeScript Python Next.js React Node.js

AI & Infrastructure LangChain AWS Azure GCP

Open Source Contributions

Project Description
Open Xtract Extract structured data from documents, images, audio, and video using LLMs with durable execution
LangChain Framework for building LLM-powered applications and agents
Smol Agents Huggingface's project for lightweight, efficient AI agents
LiteLLM Open-source LLM Gateway for 100+ LLM APIs

Pinned Loading

  1. chain-of-thought-reranking chain-of-thought-reranking Public

    an approach to optimizing large language model (LLM) responses by extracting, reranking, and refining their internal chain-of-thought (CoT). By focusing on the most coherent and relevant parts of t…

    Jupyter Notebook 3

  2. langchain-salesforce langchain-salesforce Public

    Langchain integration for Salesforce CRM, providing tools for SOQL queries, object schema inspection, and CRUD operations through Langchain's framework

    Python 6 2

  3. vector-vault vector-vault Public

    A high-performance vector similarity search engine with LSH (Locality-Sensitive Hashing) optimization, written in Go.

    Go 1

  4. pycuda-numpy-vector-ops pycuda-numpy-vector-ops Public

    Accelerating NumPy Vector Operations with PyCUDA

    Jupyter Notebook

  5. logit-control logit-control Public

    Control LLM token generation by directly manipulating logits to enforce structured outputs. Built with Hugging Face Transformers and demonstrated using Qwen2.5-0.5B.

    Python 2

  6. how-to-deepseek-ocr how-to-deepseek-ocr Public

    How to run the DeepSeek-OCR model on a single A100 40GB GPU.

    Jupyter Notebook 1