AI Engineer for Docker & Scalable AI Deployments – UK/USA

With 8+ years of DevOps and AI integration experience, this engineer builds robust, secure Dockerized solutions for GPT, voice processing, and LLM-based workflows. Their work powers smart dashboards, API-first AI services, and internal copilots that scale confidently across cloud and local environments.

• GPT-Based SaaS Copilot Container Stack – Created a 3-container system including GPT, Redis, and task queue workers for an AI-powered CRM assistant—fully Dockerized and CI/CD ready.
  
  Multi-Service Whisper App Deployment – Deployed a real-time voice processing tool with Whisper API, file storage, and GPT summarizer—scaled via Docker Compose for team use.
  
  On-Demand GPT Image Builder – Engineered a backend where users upload prompt templates, and the system spins up a temporary container with the right GPT logic, then destroys it post-response.
  
  LangChain Memory App in Docker – Built a LangChain app with session-based memory, stored in Redis and deployed as a Docker image for one-click onboarding by remote clients.
  
  Docker-Based GPT Debugging Sandbox – Created a fully sandboxed prompt-testing interface inside Docker with version rollback, logging, and GPT API key isolation.
  
  Edge-Deployed GPT Tool with Docker + NGINX – Built a secure GPT tool deployed via Docker and NGINX for offline environments in legal and medical firms, fully air-gapped.