Introduce

Hello, I am Anouar
Big Data & IoT Engineer

NetSuite Administrator & SuiteScript Developer

Master's graduate in Big Data & IoT from INPT Rabat, with a background in networks and telecommunications. I currently work as a NetSuite Administrator and SuiteScript developer, and I research applied AI — LLMs, federated learning and network security. Two papers accepted at IEEE WiMob 2025 and IEEE Globecom 2025.

About

Problem without a solution is a poorly stated problem
Albert Einstein.

I hold a Master's in Big Data and IoT (INPT Rabat, 2025), a professional Bachelor's in Mobile Applications Engineering (EST Salé) and a University Diploma in Networks and Telecommunications (EST Fez). My work spans ERP development on NetSuite, data engineering and machine learning, enterprise networking and cybersecurity, and mobile development with Flutter. I also teach Big Data, Python data analytics and AI fundamentals as a technical trainer. Languages: Arabic (native), French (C1), English (C1).

Resume

Education

2023 - 2025

National Institute of Posts and Telecommunications (INPT) - Rabat

Master's in Big Data & IoT
Honours: Good
2022 - 2023

Higher School of Technology-Salé

Professional Bachelor's - Mobile Applications Engineering
Honours: Good
2020 - 2022

Higher School of Technology-FES

University Diploma of Technology - Networks & Telecommunications
Honours: Good
2019 - 2020

Al Wahda High School - Taounate

Baccalaureate in Mathematical Sciences

Experience

Professional Experience

Sep 2025 - Present

NetSuite Administrator & SuiteScript Developer — Suitevise

SuiteScript 2.x, SuiteQL, Saved Searches and custom integrations. Automation workflows with Make (Integromat), REST APIs, SQL Server and SFTP. NetSuite integration with HubSpot, HRIS and finance systems.
Oct - Dec 2025

Technical Trainer — EPG Fès

Big Data fundamentals, Data Analytics with Python, Merise methodology, AI concepts and Arduino programming, with hands-on workshops.
Feb - Jul 2025

Final Year Project — INPT Rabat

Intelligent WiFi troubleshooting assistant based on LLMs: custom dataset, fine-tuning and Retrieval-Augmented Generation (RAG) for diagnostics.
Apr - Jun 2023

Internship — 2MSYNERGY, Fez

Two Flutter applications: an e-learning platform and a real-time package tracking app using Firebase and barcode scanning.
Apr - Jun 2022

Internship — INFODIS, Fez

PFSense firewall with captive portal, OpenVPN and network traffic monitoring.
Jun - Aug 2021

Introductory Internship — INFODIS, Fez

Network cabling, infrastructure setup and hardware maintenance.

Services

My Specializations

Big Data & Artificial Intelligence

Data pipelines, machine learning and deep learning (LLMs, RAG, CNN/ResNet), federated learning for TinyML.

NetSuite & SuiteScript

ERP administration, SuiteScript 2.x, SuiteQL, Saved Searches and integrations via REST APIs, Make and SFTP.

Networks & Telecommunications

Routing (OSPF, BGP, MPLS), VLAN, NAT, VPN, mobile networks 2G-5G and optical fiber (FTTH/FTTX).

Cybersecurity

PFSense firewalls, captive portal, OpenVPN, network segmentation and ML-based intrusion detection.

Mobile Development

Cross-platform apps with Flutter/Dart and Firebase, plus native Android and iOS experience.

Technical Training

Courses and workshops in Big Data, Python data analytics, AI and embedded systems.

Projects

My Projects

INPT — Research

TinyFLChain: Blockchain-Secured Decentralized Federated Learning for TinyML

Decentralized federated learning combined with blockchain to secure and optimize AI on low-power TinyML devices. Accepted at IEEE Globecom 2025.
INPT — Final Year Project

WiFiQnA: LLM-based WiFi troubleshooting assistant

Custom WiFi dataset, fine-tuned LLMs and Retrieval-Augmented Generation for network diagnostics. Accepted at IEEE WiMob 2025.
INPT — Machine Learning

Network Attack Detection (UNSW-NB15)

Comparison of 5 ML models (Logistic Regression, Random Forest, KNN, XGBoost, Decision Tree) for binary and multiclass attack classification.
INPT — Deep Learning

Radio Modulation Classification (RadioML 2018)

Deep learning pipeline comparing CNN, ResNet-18 and ResNet-50 architectures.
INPT — Signal Processing

Signal Separation with AMUSE

Implementation of the AMUSE algorithm (Independent Component Analysis) to separate independent sources from mixed inputs using autocorrelation.
INPT — Computer Vision

Deepfake Detection

Facial recognition system using YOLOv8 for face detection with a Tkinter GUI to identify and flag deepfakes.
INPT — AI & Mobile

Plant Disease Prediction

CNN model classifying plant diseases from leaf images, deployed in a real-time Flutter app with TensorFlow/Keras.
2MSYNERGY — Internship

Package Tracking & E-learning Apps

Two Flutter applications: real-time parcel tracking with barcode scanning and an e-learning platform, both powered by Firebase.
EST Salé — Java

Student Management System

JavaFX desktop application with MySQL for student registration, academic records and course tracking.
EST Fez — Final Project

MPLS Operation in an Enterprise Network

Study of intra-cloud routing and CE-PE routing using RIPv2, OSPF, EIGRP and MP-BGP.
EST Fez — Electronics

Battery Charge Indicator

Battery level indicator designed and simulated with ISIS and ARES.

Publications

Conferences & Publications

IEEE WiMob 2025

WiFiQnA: a WiFi Dataset for Large Language Models

Anouar Zouhri, Lynda Zitoune, Iyad Lahsen-Cherif — IEEE International Conference on Wireless and Mobile Computing, Networking and Communications.
IEEE Globecom 2025

TinyFLChain: Blockchain-Secured Decentralized Federated Learning for TinyML Systems

Anouar Zouhri, Douaa El Achhab, Meryeme Ayache, Nidal Nasser — IEEE Global Communications Conference.