worflow

gatk4 RNA variant calling pipeline

Code-first DAG workflow orchestration for .NET. Runs in your existing ASP.NET Core app — Hangfire, in-process, or Azure Service Bus runtime. Built-in dashboard, OpenTelemetry native, conditional branching, human-in-loop signals.

🍚 My minimal Linux configurations for a beautiful workflow

AI Digest 2.0 generates concise, customizable digests from long-form content using modern AI models. Create summaries, highlights, and topic-extracted briefs for articles, documents, and news feeds with minimal setup.

A CLI managed agent harness for orchestrating AI-driven tasks.

Angular 프로젝트에서 번역 키 추출부터 Google Sheets 생성, 번역 완료까지의 전체 워크플로우를 자동화하는 시스템입니다.

shell script to automate git features and github issues

Github action to automatically request reviews and assign pull requests

Open-source AI automation workflows for WhatsApp, email, CRM, and webinar funnels built for coaches, agencies, and consultants.

AI-powered legal document analyzer that processes statute PDFs through a comprehensive pipeline. Extracts text, generates intelligent summaries, parses legislative sections (definitions, obligations, enforcement), performs automated compliance rule checks, and outputs structured JSON reports.

A hands-on course on integrating Large Language Models (LLMs) with no-code tools.

This project demonstrates Continuous Integration and Continuous Deployment (CI/CD) for an Angular application. It includes GitHub Actions for automated testing and deployment to Vercel.

The AI Logistics Platform is designed to integrate with various existing logistics systems, process data in real-time, and provide intelligent insights through natural language queries. Here's a detailed breakdown of each component:

Nordic/EU automation software

My git memo for solo development, extracted from the last project (arrdecpp).

Build an Airflow pipeline from Amazon s3 to Amazon Redshift

A community-driven AI automation framework that builds upon the incredible work of the open source community. Our goal is to combine language models with specialized tools for tasks like web search, crawling, and Python code execution, while giving back to the community that made this possible.