AI Engineer for Docker & Containerized AI Workflows – Pakistan

With 5+ years of backend and DevOps experience, this engineer specializes in Dockerizing AI services—turning GPT-based features, Whisper integrations, and custom ML workflows into fully containerized microservices. Their work reduces deployment time, simplifies testing, and increases DevSecOps reliability.

• Dockerized GPT Content Engine – Built a fully containerized microservice that takes prompts and returns GPT-generated content with token tracking and autoscaling options.
  
  Whisper-Based Voice Processing Pipeline – Developed a voice-to-text system with Dockerized Whisper + GPT summary layer, deployed via Docker Compose with isolated services.
  
  GPT Dev Environment in Containers – Created pre-configured development Docker images with GPT prompt testers, Postgres DB, and LangChain modules for fast local builds.
  
  Containerized Legal Assistant App – Deployed a multi-container solution including contract uploads, AI review using GPT, and feedback generation—all portable and cloud-ready.
  
  FastAPI + GPT4 Reporting Tool – Dockerized a reporting backend where users submit business data and receive GPT-written executive summaries via email or API.
  
  Private Docker Registry for AI Tools – Set up a secure Docker registry on-premise for a healthcare startup to host private GPT-powered tools with version control.