Welcome

Digitalizing Complex Data into Intelligent Solutions

Hi! I am Oussama, a Data and AI engineer based in Morocco.

BO

BENABBOU Oussama

Data and AI Engineer

Hi there! I am a final-year data engineering student with a deep interest in artificial intelligence and natural language processing. I am particularly fascinated by Large Language Models (LLMs) and am currently familiarizing myself with prominent RAG frameworks like LangChain.

This summer, I am participating in an internship where we are developing a full-stack RAG application chatbot. I am passionate about leveraging my skills in innovative projects and contributing meaningfully to the field of artificial intelligence.

Online Certifications

IBM Data Engineering Specialization (13 courses)

A comprehensive program covering all aspects of data engineering.

Oracle Cloud Infrastructure 2023 Certified Foundations Associate

Fundamental knowledge of Oracle Cloud Infrastructure services.

Machine Learning Specialization of Stanford University & DeepLearning.AI

In-depth understanding of machine learning concepts and applications.

AWS Cloud Concepts

Basic principles and services of AWS cloud computing.

My Tech Stack

C
Python
Java EE
JavaScript
Spring
Spring Boot
Spring Boot
React
Next.js
Tailwind CSS
Django
FastAPI
Airflow
Apache Kafka
Apache Spark
Hadoop Ecosystem
PostgreSQL
Oracle DB
SQL Server
MySQL
Cassandra
databases-and-servers/databases/mongodbCreated with Sketch.
MongoDB
GCP
Git
GitLab
file_type_docker
Docker
Terraform
Linux
Keras
scikit-learn

A small selection of recent projects

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Implementation of GPT from scratch

Implementing self-attention mechanisms, multi-head attention, and exploring the intricacies of transformer architecture.

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Real-Time Vehicle Tracking System

Implementation of a Real-Time Vehicle Tracking System using Kafka, ZooKeeper, Spark, Google Cloud Platform (GCS), BigQuery, Mage, Terraform, dbt, Docker, and Looker Studio. Follow this guide to set up and run the project to monitor and analyze vehicle data in real-time.

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Forecasting Wikipedia Page Views: An Exploration of Web Traffic Prediction Strategies

Constructing a forecasting model for predicting future traffic on Wikipedia pages where we try to explore two different approaches for prediction.

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BERT-based Text Classification REST API

This project is a FastAPI-based RESTful API for text classification using a fine-tuned BERT model and Cassandra database integration.

Work Experience

Software and Machine Learning Engineer intern

Shiftbricks, June 2024 - Present
We are currently building a full-stack app that features a conversational bot developed using a RAG (Retrieval-Augmented Generation) framework.
I will provide more information about the technologies we are using later.