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Achievements

Achievement: Galaxy BrainAchievement: QuickdrawAchievement: Pull SharkAchievement: Pair ExtraordinaireAchievement: YOLO

Achievements

Achievement: Galaxy BrainAchievement: QuickdrawAchievement: Pull SharkAchievement: Pair ExtraordinaireAchievement: YOLO

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Medamineelkhattabi/README.md

Mohamed Amine El Khattabi — AI Automation Engineer, Data Engineer, Full-Stack Builder. Tangier, Morocco. I build AI agents, LLM workflows and real-time data pipelines that run in production. Open to select AI and data roles.

Go to ProfileGo to ExpertiseGo to WorkGo to ActivityGo to Contact

AI automation · AI agents · LLM engineering · Real-time pipelines · Kafka & Spark · Retrieval-augmented generation · Computer vision · MLOps · Production AI

I. Profile — the essentials

Build systems where AI actually meets production. I design scalable intelligent systems that bridge machine learning, real-time data pipelines and robust backend architecture, and I ship them into real environments, not just notebooks. Role: AI Automation Engineer. Education: final-year Computer Engineering student. Based in Tangier, Morocco. Focus: production AI, streaming data, MLOps, LLMs. Industries: logistics, healthcare, smart mobility. Shipped for Tanger Med Port Authority and Mediacaris. Languages: Arabic (native), French (C1), English (professional).


II. Expertise — disciplines and tools

Intelligence: PyTorch, TensorFlow, scikit-learn, LangChain, Rasa, Gemini, OpenAI API, Ollama, YOLO, LSTM. Data: Apache Kafka, Apache Spark, PostgreSQL, MongoDB, Redis. Backend: FastAPI, Flask, Django, NestJS, Node.js, Spring Boot. Interface & Ops: React, Next.js, Streamlit, Docker, Kubernetes, Jenkins, GitHub Actions.


III. Selected work — engagements and open source

N° 01 — AI Supplier Assistant (Tanger Med): a multilingual enterprise assistant automating supplier operations for one of Africa's largest ports. FastAPI, Rasa, LangChain, Gemini. In production.

N° 02 — NextHire AI: AI-driven CV optimisation paired with automated, voice-based interviews and evaluation scoring.

N° 03 — Typely: the writing assistant that works in every app and keeps your text on your own computer. Tauri 2, Rust, TypeScript, Ollama.

Open the case file: how it works

How Typely works: any app, Rust core (Tauri 2), floating panel, rules and spelling, local AI through Ollama, then Replace pastes the result back.

N° 04 — RAG Intelligence Lab: basic RAG against semantic graph RAG, side by side.

Open the case file: how it works

How the RAG Intelligence Lab works: one corpus feeds basic RAG (chunks, bge-m3, FAISS) and semantic RAG (knowledge graph, multi-hop paths), both answered by the same LLM.

N° 05 — Real-time Object Detection: live webcam detection, tracking and line-crossing counts. YOLO, FastAPI, React, SQLite.

Open the case file: how it works

How Real-time Object Detection works: browser frame, FastAPI WebSocket, YOLO detection, tracking, counting, annotation, results back to the browser, detections batched into SQLite.

N° 06 — Smart Mobility Platform: behaviour-aware analytics for passenger and vehicle flows. Kafka, Spark, FastAPI, LSTM.

Open the case file: how it works

How the Smart Mobility Platform works: data sources, Kafka and MQTT ingestion, Spark processing, LSTM and GNN models, FastAPI, Streamlit dashboard.


IV. Activity — the last twelve months

The last twelve months, including private client work: 820 contributions, 102 active days, 39 pull requests merged, 24 public projects.

Contribution ledger, November 2025 to November 2026, including private client work.


V. Correspondence — let's talk

Let's build something remarkable. Open to AI and data engineering projects and roles. I reply fast.

Portfolio — medamineelkhattabi.meLinkedIn — in/mohamed-amine-el-khattabiEmail — Medamine4elkhattabi@gmail.com

Crafted in Tangier, MMXXVI. Back to top.

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  1. immobilier_maroc immobilier_maroc Public

    Moroccan real estate market analysis with price prediction and an interactive Streamlit app.

    Python

  2. AIAgentsMedical AIAgentsMedical Public

    Clinical decision support prototype in Flask: FHIR/HL7 data intake, 5-level triage and patient assessment. For research use only.

    Python 1

  3. Smart-Mobility-Platform Smart-Mobility-Platform Public

    Behaviour-aware smart mobility analytics: real-time monitoring and forecasting of passenger and vehicle flows.

    Python

  4. boilerplate-sea-level-predictor-main boilerplate-sea-level-predictor-main Public

    Sea level rise analysis on EPA data (1880-2013), with regression models projecting to 2150.

    Python

  5. CargoManager CargoManager Public

    CargoManager is a C++ project for managing goods transport via road and air, allowing users to add, modify, and remove shipments, and calculate transportation costs based on weight, distance, and t…

    C++

  6. Real-time-object-detection Real-time-object-detection Public

    Live webcam object detection, tracking and line-crossing counts. FastAPI and Ultralytics YOLO, React + Vite front end, SQLite.

    Python 1