Fuad Garayev

Development of full‑stack applications and web scrapers, utilizing REST APIs and WebSockets. Built AI-based bots and designed user interfaces for AI-driven interactions. Integrated Retrieval-Augmented Generation (RAG) pipelines using vector stores for semantic search and context-aware responses. Deployment, scaling, and optimization of applications for production environments.

Built frontend and backend from scratch for an AI-powered chat platform supporting real-time load and truck matching. Integrated GPT-based models and Langchain for intelligent query handling, document retrieval, and dynamic search optimization. Deployed scalable infrastructure on AWS, improved system performance, and ensured continuous maintenance and bug resolution.

Backend developer for a real-time taxi application, focusing on WebSocket communication, Redis-based geolocation tracking, and efficient driver-passenger matching. Designed scalable backend architecture using FastAPI, with real-time updates, background task management, and high-availability Redis data storage for location and ride management. Leveraged neural networks for intelligent user identification and optimized ride assignment based on behavioral and location patterns.