arin-deloatch/docta
A project about tracking differences across documentation versions
AI Engineering @ Red Hat
Repositories
arin-deloatch/lightspeed-stack
LLM tooling stack
arin-deloatch/circular
A recursive execution runtime for software engineering tasks, where coding agents are interchangeable executors and recursion is the primary computation model.
arin-deloatch/vllm
A high-throughput and memory-efficient inference and serving engine for LLMs
arin-deloatch/agents-and-skills
Centralized configuration for Claude agents and skills, enabling reusable, version-controlled definitions of agent behavior, tool usage and reasoning patterns across projects.
arin-deloatch/rhel-lightspeed-evaluation
arin-deloatch/lightspeed-providers
Source code for our custom providers.
arin-deloatch/heimdall
watching repos
arin-deloatch/pydantic-ai-spike
pydantic ai spike
arin-deloatch/sia
Self-improving AI agent research spike using Pydantic AI
arin-deloatch/lightspeed-evaluation
arin-deloatch/arin-deloatch
Config files for my GitHub profile.
arin-deloatch/Cerberus-DPL
Cerberus is a lightweight pipeline for filtering, normalizing and ingesting documents into RAG systems. It focuses on the “gatekeeper” step of the pipeline: making sure only high-quality, relevant, and deduplicated documents get chunked, embedded, and stored in your vector database.
arin-deloatch/mcp-testing
PoC for MCP evaluation using DeepEval
arin-deloatch/rustlings
:crab: Small exercises to get you used to reading and writing Rust code!
arin-deloatch/rust-stuff
This repository is my personal sandbox for learning and experimenting with the Rust programming language 🦀.
arin-deloatch/mcp-doc-fill
arin-deloatch/content-quality-assessment
arin-deloatch/arin-deloatch.github.io
arin-deloatch/employee-attrition-predictor
A machine learning project to predict employee attrition using historical HR data. The model analyzes key factors such as job satisfaction, performance, and compensation to identify employees at risk of leaving, helping organizations take proactive retention measures.
arin-deloatch/income-insight-predictor
This project utilizes the Census Income dataset from the UCI Machine Learning Repository to perform an end-to-end statistical analysis. Using Python 3.11 and popular data manipulation, visualization, and statistical libraries, we demonstrate how to process, analyze, and visualize the dataset. The project focuses on cleaning data, feature selection,
arin-deloatch/early-detection-diabetes-ml
This project focuses on the early detection and management of diabetes using machine learning. By analyzing a comprehensive dataset of health metrics, our predictive model identifies individuals at risk for diabetes onset, enabling healthcare providers to take proactive measures and improve patient outcomes.
arin-deloatch/medreview-ai
This project leverages Natural Language Processing (NLP) techniques and machine learning algorithms to predict drug ratings based on patient reviews. By analyzing a dataset of drug reviews from the UCI Machine Learning Repository, the goal is to accurately forecast a drug’s rating (out of 10) based on the content of the review.
arin-deloatch/musical-composer-classification-dl
The primary objective of this project is to develop a deep learning model that can predict the composer of a given musical score accurately. The project aims to accomplish this objective by using two deep learning techniques: Long Short-Term Memory (LSTM) and Convolutional Neural Network (CNN).
arin-deloatch/ML-For-Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all