Zkaria Gamal

developed a process technique to make the label file based on the image and the mask that follow yolo instruction of the bounding box and create the dataset and copying it to the train and test folders

Agentic AI Engineering is a production-grade engineering resource for building modern agentic AI systems with LangChain, LangGraph, RAG, MCP, local models, and deployable Python services.

StudyWithFriend is a multimodal LangGraph agent with real-time RAG, background PDF embedding, and multi-engine TTS synthesis—combining document understanding with autonomous tool use and voice I/O. Built for production use with Ollama, Google Gemini, or OpenAI; supports Coqui TTS and DiffSinger vocoder for low-latency speech synthesis.

Educational repo comparing the three most popular local LLM serving engines under identical high-concurrency load.

This repository implements a multi-node LangGraph/StateGraph runtime that mirrors the routing, state management, and tool-gating patterns I build in production. The architecture maps directly to systems I developed at Alohadot and ThePost, including multi-agent orchestration and LLM routing across vLLM/SGLang/OpenAI/Gemini.

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