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JustAGek/README.md

Hi there, I'm Abdulrahman Mahmoud 👋

Software Engineer | Data Engineer | Systems Architect

I am a Computer Science & Engineering student (Class of 2027) with a deep focus on building scalable backend systems, data pipelines, workflow automation, and low-level software architectures. I thrive on solving complex algorithmic challenges and engineering robust, data-driven applications from the ground up.

  • 🎓 Currently studying at the Egypt-Japan University of Science and Technology (E-JUST).
  • 💼 Gaining enterprise experience as a Software Engineering Intern at AAIB and previously as a Data Engineer Intern at DEPI.
  • 🌱 Currently building and optimizing ETL pipelines, compilers, automated workflows, and high-performance REST APIs.
  • ⚡ Fun fact: I'm an active competitive programmer on Codeforces and Vjudge.

🛠️ Tech Stack & Tools

  • Data Engineering: Azure Data Factory, SSIS, Apache Spark, Airflow, PostgreSQL, Pinecone, MySQL
  • Languages: Python, C++, Java, C#, SQL, Bash, JavaScript, PHP
  • Systems & Backend: Linux, Docker, REST APIs, FastAPI, Maven, Git
  • Automation & AI: n8n, LangChain, Ollama
  • Core Competencies: ETL Pipelines, Algorithm Design, System Architecture, Code Debugging, OOP, Data Structures

🚀 Highlighted Projects

  • Medics A multi-branch pharmacy management platform featuring automated billing algorithms, role-based access, and real-time analytics. Built with FastAPI, Flutter, Tauri, and PostgreSQL.

  • MiniLang Compiler A full compiler pipeline built from scratch (lexing, parsing, semantic analysis, TAC IR, x86 assembly generation) utilizing Java, ANTLR4, and Maven. Includes custom CLI visualizers for parse trees and ASTs.

  • Billing Cafe System A full-stack point-of-sale and inventory management system with responsive frontend components, multi-language support, and optimized SQL data structures for fast, reliable reporting.

  • Financial RAG Chatbot & Document Automation An automated Retrieval-Augmented Generation (RAG) pipeline built with n8n to dynamically ingest, parse, and vectorize financial reports. It features an intelligent intent-routing system powered by local LLMs to classify user queries. The project integrates Ollama for local generation, LangChain for document processing, and a Pinecone vector database for semantic search.

📫 Let's Connect

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  1. Billing_Cafe_System-Coffee-Shop-Billing-and-Inventory-Management Billing_Cafe_System-Coffee-Shop-Billing-and-Inventory-Management Public

    A lightweight, web-based cafe billing system that streamlines orders, receipts, and sales reporting with bilingual support and simple admin/staff management.

    CSS

  2. Big_Data_cluster_MiniIO_Spark_Airflow Big_Data_cluster_MiniIO_Spark_Airflow Public

    A local, self-contained Big Data dev stack that wires Airflow, Spark, and MinIO to run and test a financial fraud detection pipeline end-to-end, with optional Snowflake output and ready-to-run orch…

    Python 1

  3. Financial-RAG-Chatbot-Document-Automation Financial-RAG-Chatbot-Document-Automation Public

    Financial RAG Chatbot & Document Automation is an n8n-based pipeline that ingests financial reports from Google Drive, parses and embeds them with LangChain and Ollama, and serves grounded answers …

  4. Medics Medics Public

    A pharmacy system on progress that will innovate the old inputs standard.

    Python

  5. minilang-compiler minilang-compiler Public

    MiniLang Compiler is a full pipeline compiler for a custom MiniLang language, covering lexing, parsing, AST construction, semantic analysis, TAC IR, and x86 code generation. It also exports parse t…

    Java