AI Engineer for MongoDB & Intelligent Data Pipelines – UK/USA

With 7+ years of backend and AI development, this engineer creates efficient MongoDB-based architectures for AI-powered tools. They’re trusted by SaaS teams and enterprise startups to build flexible systems that store, transform, and serve data intelligently with GPT and Whisper support.

• AI Summary Database with MongoDB – Built a backend where users submit documents, GPT summarizes them, and MongoDB stores both original and AI-parsed content for search.
  
  Multimodal User Profile System – Developed a system where voice, text, and image inputs are processed with AI and saved in MongoDB for contextual user modeling.
  
  AI FAQ Builder from Support Tickets – Created a tool that collects support tickets, clusters them using GPT, and stores grouped FAQs into collections for dynamic frontend display.
  
  Speech-to-Text Tracker App – Built an app where Whisper transcribes meetings, GPT summarizes them, and data is saved in MongoDB with tags, timestamps, and status labels.
  
  Chat History Copilot with Filters – Developed an AI assistant where chat context, prompts, and completions are saved to MongoDB, allowing filtered GPT access by session, user, or topic.
  
  MongoDB Query Explainer Bot – Built a developer tool where GPT explains MongoDB queries, improves them, and suggests better indexing—all via a smart chat interface.