Hello there!
I’m Malek BEN YOUSSEF
- AI Engineer 🤖
- Experienced in Google Cloud Platform ☁️
WHAT I OFFER
I work on building data pipelines to collect, clean, and move data.
I create smooth data flows that support machine learning and analytics using cloud solutions.
ML Model Development
Natural language processing
Agents Orchestration
Data Visualization and Reporting
Cloud-Based AI Solutions
SKILLS
With a knack for quick learning, I focus on mastering many skills and technologies needed for AI Engineering.
EXPERIENCE
Here is a timeline of my key experiences.
AI Engineer
@CMA CGM
October 2025 – Present
Paris, France
- Developed a GenAI labeling agent, automating 80% of workload and reducing labeling costs by 92% (from €500k to €41k).
- Deployed a serverless dual-agent pipeline on Cloud Run Jobs, accelerating batch processing by 50%.
- Reduced LLM token consumption using context caching and batching, reducing input token costs by 90%.
Data Engineer
@Crewmeister
February 2025 – September 2025
Munich, Germany
- Developed Airflow ETL/ELT pipelines to ingest and transform data into BigQuery.
- Created cost efficient data workflows using Airflow automation, reducing BigQuery costs by over 57%.
- Implemented Medallion architecture using dbt for modular models.
Data Science Intern
@Premier Cloud
July 2024 – September 2024
Victoria, British Columbia, Canada · Remote
- Deployed GCP Agent Builder chatbot on Cloud Run, automating reporting and batch workflows.
- Built Pub/Sub Dataflow streaming pipelines, reducing latency by 65%.
- Optimized partitioned and clustered BigQuery tables, reducing query costs by 48% across 27M+ rows.
Data Science Intern
@Silver Brain AI AG
November 2023 – January 2024
Geneva, Switzerland · Remote
- Developed a chatbot using Llama 2 LLM (7B parameters) to provide detailed service information to clients.
- Employed RAG techniques to optimize LLM text generation, improving output quality by 30%.
- Integrated and deployed the chatbot application in a web app, managing a CI/CD pipeline.
PROJECTS
Query Assistant
Personal Project
- Built an NL2SQL system converting natural language into SQL queries.
- Deployed the application using Google Cloud Run and managed a CI/CD pipeline with Google Cloud Build, accelerating the workload by 55%.
- Optimized queries and ensured 95% of its schema compliance with Dataplex.
Autonomous Navigation using Deep Reinforcement Learning
Personal Project
- Created an autonomous robot navigation system employing the TD3 algorithm.
- Implemented deep reinforcement learning techniques achieving 92% success rate in obstacle avoidance.