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AI-powered travel itinerary generator using Cloudflare Workers, Firestore, and OpenAI's GPT-4. Features asynchronous processing, real-time status tracking, and comprehensive validation.
CSV File Processor is a full-stack application for efficiently processing and managing CSV product data with real-time currency conversions. The application supports asynchronous processing of large datasets (200K+ rows), provides robust filtering and sorting capabilities, and uses Redis caching for optimized performance.
A scalable Twitter-like social media feed system implementing hybrid fanout strategies to efficiently handle both regular users and celebrities with millions of followers. Features Spring Boot 3.x backend with PostgreSQL, Apache Cassandra, and Redis for optimized read/write performance across different user types.
PyQt5 GUI controlling a background daemon that fetches messages from a server, processes them with a local AI via Ollama and Chroma, and sends back the response. Perfect for building automated, intelligent messaging flows.
An advanced multimodal Retrieval Augmented Generation (RAG) system leveraging Gemini, HuggingFace embeddings, and Pinecone Vector DB to semantically parse complex PDF documents, with an asynchronous microservice architecture using Kafka, Langchain, FastAPI, JWT authentication, and Docker for scalable, real-time contextual knowledge extraction.
Analytics Service is a high-performance, production-ready website analytics system built using Node.js, Express, Redis, and MongoDB. It is designed to handle high-volume event ingestion with sub-5ms response times, using Redis as an in-memory queue for fast, non-blocking data pipelines.
Enterprise-grade university management system backend built with Spring Boot 3.2, Java 17, and modern architecture patterns. Features JWT authentication, role-based access control, multi-level caching, async processing, and comprehensive testing. Demonstrates advanced Java concepts, microservice-ready design, and production deployment strategies.
Backend projects covering pagination, caching, internationalization (i18n), and queuing systems in JavaScript. These projects focus on efficient data handling, performance optimization, multi-language support, and asynchronous task management for building scalable applications.