Hello, I'm Hamza CHRAIM

Computer Engineering Specialist - Big Data & AI

About Me

I'm a passionate Big Data & AI Specialist with over 5 years of experience transforming complex data into actionable insights. My expertise spans across machine learning, deep learning, and distributed computing systems, enabling me to build scalable solutions that drive innovation and business value.

Throughout my career, I've architected and deployed ML pipelines processing 50TB+ monthly data, led teams in developing cutting-edge computer vision solutions, and optimized model inference to reduce latency by 80%. I'm committed to leveraging AI and big data technologies to solve real-world problems and create meaningful impact.

Work Experience

Professional experience in AI, machine learning, and big data

Data Engineering & AI Projects

Academic & Personal Projects

Jul2025 – Sep 2025

Hands-on projects in data engineering, machine learning, computer vision, and AI-powered systems.

Built an AI flight price prediction and analytics platform using Flask, MongoDB, and scikit-learn

Developed real-time systems with Kafka and MongoDB (flight tracking, streaming analytics)

Implemented computer vision pipelines using YOLOv8 and OpenCV for real-time traffic analysis

Created an Odoo 17 AI-powered e-commerce connector (YouCan & Shopify) with dashboards, webhooks, and chatbot

Integrated ML models and APIs into production-ready web applications

Full-Stack Developer Intern

Agridata Consulting Maroc SA

Jun 2024 – Sep 2024

End-of-study internship focused on building an employee attendance (pointage) web application with Angular and Node.js, plus automation and reporting.

Developed an employee attendance (pointage) web application using Angular and Node.js

Designed the database schema and implemented backend REST APIs

Automated working-hours calculations and internal processing tasks (scripts & data treatments)

Built dashboards and management reports for leadership and operational follow-up

Optimized application performance and improved data consistency with validation rules

Featured Projects

Explore my latest work in AI, machine learning, and big data engineering

Flight Insight — AI Flight Search & Price Prediction

AI-powered flight search, price-prediction & trend analysis. Find the best time to fly, powered by machine learning.

Live flight scraping (Royal Air Maroc, Aviasales, TravelWings). Price prediction per route using Random-Forest + joblib caching. 7/15/30-day trend forecasting. MongoDB persistence. Flask UI + REST API for prediction and price history.

PythonFlaskMongoDBSeleniumBeautifulSoupscikit-learnpandasnumpyjoblib

Watch demo View code

SkyView Live — Real-Time Flight Tracker

Real-time flight tracking with live map visualization and prediction.

Kafka pipeline consuming live flight data, processing and storing in MongoDB with fault-tolerant updates. Leaflet interactive world map with trajectories, search, and filters. REST endpoints for current flights.

PythonFlaskKafkaMongoDBLeafletTailwind CSS

Watch demo View code

Intelligent Real-Time Traffic Analysis (YOLO + OpenCV)

Real-time detection, tracking, counting, and CSV logging for traffic analytics.

YOLOv8 + OpenCV pipeline for multi-object tracking with IDs, live class counters overlay, headless mode, optional output video, CSV logs for analysis, CUDA support.

PythonUltralytics YOLOOpenCVNumPyPandas

Watch demo View code

Tarzaim — AI Marketplace (Flask) | Client & Host + Voice + Multimodal Search

Full-stack marketplace with dual portals, multilingual UX, tracking analytics, and AI-driven recommendations (collaborative + semantic) with voice & image-based search.

Dual portals (Client/Host) with authentication, product management, wishlist, votes & click tracking. Multilingual experience: API translation endpoints + caching & batch translate. Personalized recommendations: collaborative filtering (NMF) trained on user click history + semantic search using SentenceTransformers. Multimodal discovery: image-based product similarity search using CLIP embeddings. Voice assistant: multilingual speech recognition + TTS with intents (greetings, small talk, jokes, time) + AI assistant flows. AI/NLP stack: zero-shot intent classification + Llama-2 integration for conversational capabilities.

PythonFlaskMySQLJinja2Sentence-Transformers (all-mpnet-base-v2)CLIP (ViT-L/14)Transformers (Llama-2, BART MNLI)scikit-learn (NMF)speech_recognitionpyttsx3googletransBootstrap/Tailwind

Watch demo

Odoo 17 E-commerce AI Connector (YouCan + Shopify)

Multi-channel Odoo 17 module to sync products/orders/customers with YouCan & Shopify, plus BI dashboards, AI chatbot, and smart web scraping.

Built a comprehensive Odoo 17 connector for YouCan & Shopify with OAuth2 (token refresh), webhooks, bidirectional sync (products/orders/customers), scheduled cron jobs, detailed sync logs, and real-time analytics dashboard (KPI + Chart.js). Added AI chatbot (EN/FR/AR Darija) for business queries + market intelligence & AI-powered scraping (URL→JSON) with competitor monitoring.

PythonOdoo 17PostgreSQLOAuth2Shopify APIYouCan APIWebhooks (HMAC)ETL / CronChart.jsPlaywrightBeautifulSoupscikit-learnSentenceTransformers

Watch demo View code

SKILLS

Technical Proficiency

Python

Java

JavaScript

TypeScript

PHP

Dart

HTML5

CSS3

React

Next.js

Angular

Bootstrap

Tailwind CSS

Figma

Node.js

Express.js

Flask

FastAPI

Spring

Nginx

MySQL

PostgreSQL

MongoDB

SQLite

Redis

Oracle

Elasticsearch

TensorFlow

PyTorch

Pandas

NumPy

Matplotlib

Jupyter

OpenCV

Apache Spark

Apache Hadoop

Apache Kafka

Apache Hive

Docker

Kubernetes

AWS

Git

Linux

Firebase

Arduino

Flutter

Node-RED

MQTT

Odoo 17

Education

Academic journey in computer science and data engineering

Engineering Degree (Cycle Ingénieur) — Computer Engineering (Big Data & AI)

École Polytechnique d’Agadir – Universiapolis

2023 – 2026 (Expected)

Final-year Computer Engineering student specializing in Big Data & Artificial Intelligence, with a strong focus on data engineering, machine learning, and scalable systems.

Core topics: Big Data (Spark, Hadoop), Machine Learning, Deep Learning, Distributed Systems, Databases (SQL/NoSQL)

Built real-world projects including flight price prediction, real-time flight tracking (Kafka + MongoDB), traffic analysis with YOLO, and Odoo 17 e-commerce connectors

Hands-on experience integrating ML/AI models into production-ready web applications