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admirerbrown/README.md

Hi, I'm Samuel Kyere

Full-Stack Software & Integration Engineer

React, Node.js and Python applications, backend services, integrations, and grounded AI pipelines

Portfolio LinkedIn Medium Email

🧠 About Me

I build the systems that connect code, data, automation, and AI. That means full-stack applications, backend services, event-driven integrations, and the data pipelines behind them, built to be observable, maintainable, and useful to the people who run them.

  • 🧱 Full-stack apps: React and Vite frontends with Node.js and Express APIs, WebSockets, and PostgreSQL
  • 🔌 Integrations and APIs: webhooks, payload validation, and API contracts that keep systems in sync
  • 🤖 AI systems: retrieval pipelines and human-in-the-loop workflows for real operating environments
  • 📈 Automation and data: n8n workflows and auditable data pipelines that cut manual work
$ engineering_principles
reliable inputs → clear state → traceable outputs

🌍 Open to remote, hybrid, or onsite engineering collaborations

📌 Selected projects are pinned below, with full case studies on my portfolio.

🛠️ Core Stack

Frontend   React Vite JavaScript

Backend   Node.js Express Python WebSockets

Data   PostgreSQL MongoDB MySQL ChromaDB

Integration + AI   n8n LangChain GPT-4o Claude

📊 GitHub Stats

GitHub stats for admirerbrown

Have a product to build or systems to connect? Let's talk.

Pinned Loading

  1. coporate_live_training_platform coporate_live_training_platform Public

    full-stack application for instructor-led YouTube training sessions. An instructor controls playback and connected participants follow the same authoritative session state in real time.

    JavaScript

  2. facebook_ad_whatsapp_inbound_automation facebook_ad_whatsapp_inbound_automation Public

    Automatically qualify WhatsApp leads from Facebook ads, filter unserious buyers, capture orders, and store customer data in a spreadsheet for tracking and future marketing.

  3. AI-chatbot AI-chatbot Public

    Custom AI chatbot that answers customer questions based on internal company documents

    Python

  4. automated_data_seeding automated_data_seeding Public

    Fully Automated workflow built with n8n for seeding data.

    1