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mohamedzayd-elfahime/README.md

Animated neural network banner for Mohamed Zayd El Fahime

Mohamed Zayd El Fahime

AI Engineering Student · Applied AI · Automation · Data Science

I build intelligent systems end to end—connecting data, AI, backend engineering and distributed architectures,
then taking them beyond experiments into reliable real-world deployments.

LinkedIn Email Portfolio Resume

AI Engineering to Automation to Intelligent Systems to Distributed Architectures

“From data to models to systems.”

Technology Stack

AI & Machine Learning Backend & Distributed Systems Data & Engineering
Python  PyTorch  TensorFlow  scikit-learn  LangChain
Python · PyTorch · TensorFlow · scikit-learn · LangChain 		Java  Spring Boot  FastAPI  Redis  Docker
Java · Spring Boot · FastAPI · Redis · Docker 		PostgreSQL  pandas  NumPy  Qdrant  GitHub
PostgreSQL · pandas · NumPy · Qdrant · GitHub

Professional Experience

Automation Intern — HawQ-ai / Inria Startup Studio

Jul – Aug 2026 · Sophia Antipolis, France · Remote

  • Industrialized a multi-source CCTV data pipeline covering 3,100+ product references from Hikvision, Dahua, Hanwha Vision, Ubiquiti and i-PRO.
  • Designed a raw-rich ingestion architecture across REST/POST APIs, JavaScript applications and technical documents, with reusable scraping, parsing and normalization stages.
  • Built Scrapy-based collection workflows and Pytest integrity/regression suites to keep heterogeneous supplier data reliable.

Featured Projects

Project Description Stack
Oracord AI platform for Discord communities combining agentic AI, permission-aware RAG and distributed services. Java · Spring Boot · FastAPI · LangChain · PostgreSQL · Qdrant · Redis · Docker
MASI Risk AI End-to-end MASI market forecasting, VaR/Expected Shortfall validation and controlled financial RAG assistant. Python · PyTorch · FastAPI · Ollama
Predictive Machine Safety AI Causal computer-vision and temporal deep-learning system designed to anticipate hazardous machine-zone entry before physical intrusion. Python · PyTorch · YOLO · TCN · GRU
e-bib Library management API built around clean architecture, authentication and complete borrowing workflows. FastAPI · MySQL · JWT
Yazaki Frontend Competition Operational DFC/ECO workflow dashboard created for a frontend competition. HTML · CSS · JavaScript

Research

A VaR–Expected Shortfall Forecasting Framework for the MASI Index

Research manuscript combining statistical diagnostics, EGARCH/GJR-GARCH benchmarks, deep-learning tail-risk modeling, HMM regimes, VaR/ES backtesting and risk-targeting evaluation.

Education

École Nationale Supérieure d'Arts et Métiers — ENSAM Meknès

Engineering Degree in Artificial Intelligence — Data Technology & AI · 2023–2028
Three consecutive years of academic excellence.

GitHub Activity

Mohamed Zayd El Fahime's GitHub contribution activity graph

Building at the intersection of AI, data and reliable systems.
m.elfahime@edu.umi.ac.ma

Pinned Loading

  1. masi-risk-research-notebooks masi-risk-research-notebooks Public

    Research notebooks for MASI downside-risk modeling, VaR/ES backtesting, GARCH benchmarks, and hybrid LSTM risk forecasting.

    Jupyter Notebook

  2. e-bib e-bib Public

    Library management application built with FastAPI, Clean Architecture, MySQL, JWT authentication, reservations, borrowing workflows, favorites, and reviews.

    HTML

  3. yazaki-frontend-competition yazaki-frontend-competition Public

    Frontend prototype for a Yazaki DFC/ECO workflow dashboard, prepared for a competition submission.

    HTML

  4. market-risk-forecasting-ai-dashboard market-risk-forecasting-ai-dashboard Public

    End-to-end market risk forecasting and AI-assisted risk analysis platform, applied to the Moroccan MASI stock index.

    Python

  5. market-risk-rag-chatbot market-risk-rag-chatbot Public

    Controlled RAG chatbot architecture for market risk dashboards, with intent routing, vector retrieval, local LLMs, and guardrails.

    Python

  6. QuickMenu_front QuickMenu_front Public

    QuickMenu is a responsive food menu web app built with HTML, CSS, and JavaScript, inspired by a mobile UI design and ready to deploy on Vercel

    CSS