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garrettiger/README.md

Backend-Focused Full Stack Engineer

I build backend systems, data pipelines, and integrations that connect AI, data, and business tools into practical products.

My work focuses on helping teams run reliable systems in the cloud, organize scattered data across multiple platforms, and turn that data into something searchable and useful.

What I Work On

Cloud & DevOps

Deploy and run web services on AWS, GCP, Vercel, Railway, and Render.
Set up CI/CD pipelines using GitHub Actions so projects ship reliably.

Backend Development

Build backend systems using Python, Django, Flask, and JavaScript with PostgreSQL and Supabase.
Design APIs, data models, and backend services that scale cleanly.

AI + Data Systems

Build data pipelines, RAG systems, and agent workflows using LLMs such as OpenAI and Claude.
Focus on combining AI with real product logic rather than demo-style AI.

CRM Integration & Automation

Connect business tools like HubSpot, Salesforce, GoHighLevel, Slack, Gmail, Google Sheets, and Jira.
Create automation using Zapier, n8n, and webhooks to reduce manual work and fragmented data.

Semantic Search for Business Data

A common problem I solve is messy data spread across multiple CRMs and tools.
I build systems that normalize that data and make it searchable using AI semantic search.

Security & Healthcare Systems

I spent 5 years building software in the healthcare industry.
This experience gave me strong understanding of data security, HIPAA awareness, authentication systems, and safe data handling.

Approach

I focus more on clean architecture, reliable backend systems, and useful automation than flashy UI.

The goal is simple:

Build systems that are stable, searchable, and easy for teams to operate.

Tech Stack

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  1. -Telehealth-BackEnd -Telehealth-BackEnd Public

    backend for a telehealth platform that lets patients and doctors create accounts, verify their identities, and chat in real time — securely

    JavaScript

  2. RAG-AI-doc-Agent RAG-AI-doc-Agent Public

    An intelligent Retrieval-Augmented Generation (RAG) system that allows users to upload and query their own documents. Built with FastAPI, Google Gemini, Chroma DB, and Docker, this assistant provid…

    Jupyter Notebook

  3. crm-ai-automation-agent crm-ai-automation-agent Public

    AI-driven CRM automation platform that connects HubSpot, Gmail, Slack, Stripe, and DocuSign to execute sales workflows from natural language commands.

    TypeScript

  4. django-microservices-ecommerce django-microservices-ecommerce Public

    Microservices-based eCommerce backend built with Django REST Framework, PostgreSQL, Redis, JWT authentication, Traefik API Gateway, Consul service discovery, and Docker.

    Python