Voice-enabled RAG assistant that processes PDFs with Ollama, stores embeddings in ChromaDB, and provides spoken answers via ElevenLabs TTS for hands-free document Q&A

Production-ready AI Chatbot Microservices: Full-stack system with Next.js frontend, Node.js API Gateway, Go & Python backend services, PostgreSQL, Redis, Elasticsearch vector DB, RabbitMQ messaging, LangChain RAG pipeline, and containerized deployment on Docker/Kubernetes

Full-stack Todo application built with Go (Fiber, MongoDB driver) and React (TypeScript) with react-query. Demonstrates CRUD operations with a REST API backend and a modern frontend.

A simple Go Fiber-based REST API for managing todos in memory, supporting create, read, update, and delete operations.

Custom dynamic array implementation in Python using ctypes - demonstrates low-level memory management and auto-resizing behaviour

Minimal CDN demonstrating global content caching with Go, Node.js, and Docker

A Retrieval-Augmented Generation (RAG) system for intelligent PDF document analysis and question-answering

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A NestJS-based microservice for admin and user management, featuring modular architecture, TypeScript support, and scalable design principles.