Freelancer profile translated to English.
Back to original languageAbout Mohamed
AI engineer with experience on Google Vertex AI and AWS Bedrock.
Want to scale your data architectures on GCP or integrate generative AI into your products? As a Senior Data Engineer (4x Google Cloud certified), I help you design and deploy modern, high-performance, AI-ready Data platforms. My goal: to make your entire data lifecycle reliable to accelerate your decision-making.
My added value:
A "full stack data" technical expertise combining classic engineering and artificial intelligence. I optimize your flows with demanding standards (Infrastructure as Code, CI/CD, proactive monitoring) and enrich your data by directly integrating the power of LLMs and GenAI.
My deliverables and typical projects:
Modeling & Analytics: Building Data Lakes/Warehouses on BigQuery and transforming complex data via DBT.
Data Orchestration: Designing and migrating robust pipelines orchestrated by Apache Airflow, Cloud Run, and Dataflow.
Artificial Intelligence (AI/GenAI): Developing conversational agents and recommendation engines powered by Gemini, Vertex AI, and FastAPI.
DevOps & FinOps: Automating environments via Terraform, CI/CD pipelines (GitLab/GitHub), and fine-grained observability (Prometheus, Grafana).
Let's discuss your technical stack and your future challenges on Google Cloud!
French
Native or bilingual
English
Fluent
Remote only
Primarily works remotely
Experience
- Nelioum DataSenior Data AI EngineerOctober 2022 - Today (3 years and 8 months)Paris, FranceØ Nelioum for Ecom client: Development of a GenAI shopping agent:• Design of a GenAI-powered shopping AI agent capable of understanding natural language queries and assisting customers throughout their purchasing journey.• Implementation of advanced LLM-based recommendation logic to provide highly personalized product suggestions in real-time.• Deployment of the solution with scalable orchestration tools, ensuring reliability during peak periods.◦ • Technologies: Python, FastAPI, Gemini, Airflow, BigQuery, Terraform
- Brut MediaSenior Data EngineerJanuary 2022 - October 2022 (9 months)Paris, FranceØ Building the Data platform for Brut (on GCP):• Development of data collection APIs and deployment on GCP• Ingestion of data from external APIs to GCP: Storage/BigQuery• Data processing with DBT: creation of views and tables for Data Analysts and Data Scientists• Infrastructure management with Terraform• Coaching and mentoring junior developers, performing code reviews and supporting skill development.• Implementation of a DBT project to assist DAs in their analyses◦ • Technologies: Python, Bigquery, DBT, Terraform, Github, Buddy (CI/CD)
- Jellyfish (ex Tradelab)Data EngineerJanuary 2017 - December 2021 (4 years and 11 months)Paris, France• Creation of Jellyfish's GCP datalake (BigQuery):◦ Participation in the setup, maintenance, and enrichment of the BigQuery datalake.◦ Technologies: BigQuery, Airflow, Spark, Pandas, Google Pub/Sub.• Migration of Spark jobs to Data Mechanics:◦ Migration of jobs previously run on on-premise servers.◦ Technologies: Google: Scheduler, Pub/Sub, Firestore, Storage -- Spark.• Processing and storage of user visit data:◦ Extraction and processing of data from our digital providers.◦ Technologies: Spark, Google Storage, Google Compute, MongoDB.• Data dashboard for analysts:◦ Extraction and processing of global data from BigQuery.◦ Technologies: Python, Google Run, Firestore, Pub/Sub, Airflow.• Spark jobs for data analysis and filtering.◦ Technologies: PySpark, Pandas, Google Compute, Google Storage.• Collaboration with data analyst and data science teams.◦ Technologies: Pandas, Jupyter.• Python Development: Flask application for campaign tracking.◦ Technologies: Python, Flask, HTML, CSS.
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Education
- MasterUniversité Paris 82017Master
- Engineering Diploma in Computer Science and TelecommunicationsInstitut National des Postes et Télécommunications2013Diplôme d'Ingénieur en Informatique et Télécommunications
Certifications
- Professional Machine Learning Engineer CertificationGoogle2024