Mouad Jaouhari
I transform complex data into intelligent solutions.
About Me
From Signals to Systems
I am a passionate and results-oriented engineer with a diverse background spanning signal processing, machine learning, and cloud-native data engineering. My journey has been driven by a relentless curiosity and a desire to build intelligent systems that solve real-world problems. I thrive in dynamic environments and I am always eager to learn and apply new technologies.
My Journey
- Started with a foundation in signal processing and electronics.
- Transitioned to specializing in Machine Learning and Computer Vision.
- Focused on the practical application of Data Engineering in the cloud.
- Currently building and deploying production-ready ML systems.
M.Eng
Engineering Graduate
10+
Projects Completed
25+
Technologies Used
“Continuous learning is not just my strategy — it's my competitive advantage.”
- Mouad Jaouhari
Technical Skills
Here are some of the key technologies I work with. I have experience using them in various projects, from academic research to enterprise-level applications.
Google Cloud Platform
Building scalable ML pipelines and data workflows for enterprise projects.
Amazon Web Services
Implementing data migration pipelines and cloud infrastructure for large-scale applications.
Python
My primary language for ML development, data analysis, and backend services.
TensorFlow
Using this deep learning framework for computer vision and NLP projects.
Apache Spark
For big data processing, analytics and ETL pipelines in enterprise environments.
Snowflake
My go-to data warehousing solution for modern analytics and BI projects.
PostgreSQL
Utilized as the primary transactional database in various applications.
Docker
Containerizing ML models and creating reproducible development environments.
Airflow
Orchestrating complex data workflows and ETL pipelines.
Terraform
Infrastructure as Code for managing cloud resources and ensuring consistent deployments.
n8n
Building workflow automation and AI-powered integrations for intelligent applications.
Pinecone
Vector database for building semantic search and AI-powered recommendation systems.
Work Experience
Data Engineer
- ➤Developed comprehensive AWS monitoring and cost optimization tools for Sanofi enterprise projects.
- ➤Implemented automated resource tracking and performance monitoring solutions using AWS CloudWatch and Lambda.
- ➤Designed infrastructure as code using Terraform to ensure consistent and scalable deployments.
Data Engineer (Apprenticeship)
- ➤Architected and implemented EL data pipelines migrating from Hadoop to a modern AWS and Snowflake stack.
- ➤Designed and orchestrated scalable data processing workflows using services like AWS Glue, Lambda, and Step Functions.
- ➤Optimized data flow efficiency, reducing processing times and improving data quality across legacy and modern systems.
Data Science Intern
- ➤Developed a comprehensive Bitcoin market analysis solution using Snowflake and advanced machine learning algorithms.
- ➤Engineered a real-time blockchain data pipeline to ingest and process on-chain indicators for predictive modeling.
- ➤Built a sophisticated DQN (Deep Q-Network) model for developing and testing algorithmic trading strategies.
Research Intern
- ➤Conducted research on optimizing routing algorithms for satellite communications in non-terrestrial networks.
- ➤Developed and simulated multi-hop routing strategies, improving data latency and network efficiency.
- ➤Published findings in an IEEE research paper, contributing to the field of satellite IoT communication.
Featured Projects
AWS Certifications Coach
AI-powered learning platform to help students prepare for AWS certification exams with instant answers, progress tracking, and practice tests.
AWS Cost Optimization & Monitoring Tool
Enterprise monitoring solution for Sanofi projects to optimize costs and provide visibility into AWS resource usage and service performance.
AI Fitness Coaching Agent
AI agent that transforms Hevy App workout data into personalized coaching advice delivered via Telegram.
Modern Data Engineering Platform
End-to-end data engineering project demonstrating modern practices with cloud-native technologies and open-source tools.
Bitcoin Trading Platform
A comprehensive market analysis platform combining blockchain data with reinforcement learning for trading strategy optimization.
Cloud Data Migration
Enterprise-scale data migration from legacy Hadoop to a modern AWS and Snowflake architecture, designed for scalability and efficiency.
Satellite IoT Routing
Optimizing satellite communication routing algorithms for IoT devices, resulting in a published IEEE research paper.
Education & Certifications
Education
Master's in Signal & Image Processing
ENSEIRB-MATMECA
2023 - Sep 2025
Bachelor's in Electrical & Communications
ENSEIRB-MATMECA
2022 - 2023
Preparatory Classes MPSI/MP
Lycée OBA, Oujda, Morocco
2020 - 2022
Certifications
AWS Certified Data Engineer - Associate
AWS
SnowPro Advanced: Data Engineer
Snowflake
AWS Certified Solutions Architect - Associate
AWS
Credential ID: 7a080c61-81d7-4f33-9607-4835b1fd534f
Expires: Feb 13, 2029
SnowPro Core Certification
Snowflake
Credential ID: S102284-260201-COF
Expires: Feb 01, 2028
HashiCorp Certified: Terraform Associate
HashiCorp
Credential ID: 9c4a4945-0844-4927-80d7-6fd871ee305a
Expires: Nov 01, 2027
Machine Learning for Trading
Google Cloud Skills Boost
Credential ID: NC1D4D6YB39E
Modern Data Engineering with Snowflake
Snowflake
Credential ID: Z1LFG4VV1KY1
Google IT Support Specialization
Credential ID: 4NKNVNGX01MA
AI on Microsoft Azure
Microsoft
Credential ID: Z1LFG4VV1KY1
Machine Learning with Python
IBM
Credential ID: R7ED6GHYCRJH
Computer Vision Fundamentals with Google Cloud
Google Cloud Skills Boost
Credential ID: EP4BBWKU4XH1
Python Reinforcement Learning, Deep Q-Learning and TRFL
UDEMY
Credential ID: UC-5392b2f8-caf1-4eb5-9f34-e066b06028b4
All certifications are verified and can be validated through the Credly, Coursera and Udemy platforms.