Freelancer profile translated to English.
Back to original languageAbout Ahmed
About me:
- As an MLOps/Data Engineer, I hold certifications in Data Science and Data Engineering on Azure and GCP, along with several years of experience in the field.
- I have successfully led end-to-end Machine Learning projects, focusing on the integration and automation of ML workflows, as well as the design of robust data pipelines on Azure and GCP to ensure ML model performance.
My Tech Stack:
Proficiency in Python, SQL, Bash, Git, Docker, Kubernetes, CI/CD (GitHub Actions), Vertex AI
Experience with Azure and GCP
Expertise in Machine Learning and Deep Learning: TensorFlow, PyTorch
Data collection (web scraping, APIs, CSV, SQL)
Data cleaning/transformation (Pandas, REGEX)
🎯 I am here to help you save time by automating your recurring tasks.
📊 Data management expert, I am committed to analyzing your data in depth to uncover hidden trends and develop tailor-made strategies adapted to your clients.
🔎 My priority is to understand your needs to offer you effective and personalized solutions.
📞 Let's discuss your needs!
French
Native or bilingual
English
Fluent
Arabic
Native or bilingual
Spanish
Basic
Can work on-site
Paris (up to 50km)
Experience
- LCLMLOps Engineer - AI EngineerBANKING AND INSURANCEFebruary 2025 - Today (1 year and 4 months)Villejuif, France- Migration, development, and automation of data/model pipelines on Vertex AI with Kubeflow and custom containers.- Industrialization of ML models on GCP following MLOps best practices (CI/CD, versioning, monitoring).- Management of experiments and model versioning via Vertex AI Model Registry.- Integration of an advanced OCR (Doctr) into automatic document analysis (PDF, images) for an RAD/LAD project- Optimization of training/inference on GPU and deployment via TorchServe with custom handlers.- Collaboration with Data Science for the adoption of pipeline templates and autonomous model deployment.
- SLBML Engineer - AI EngineerENERGY AND UTILITIESOctober 2024 - January 2025 (3 months)Clamart, France• Migration of ML workflows from Databricks to Vertex AI with kubeflow• Developed and published multiple Python packages as artifacts in AzureDevOps• Deployed and managed ML models, ensuring seamless integration with existingsystems.• Contributed to building an AI-powered chatbot, integrating it with enterprisedata sources.• Deployed fine-tuned models within a secure infrastructure in GKE
- BrutML ENGINEER - SENIOR DATA SCIENTISTPRESS AND MEDIAJune 2024 - Today (2 years)Paris, France- Built automated pipelines for reposting content on platforms like Facebook, Instagram, and TikTok, enhancing revenue potential.- Developed an AI-driven process using LLMs for generating SEO-optimized articles, integrating LangSmith and Phospho for content accuracy tracking.- Managed and deployed Vertex AI and Kubeflow pipelines through a CI/CD workflow using GitLab and Google Cloud Build.- Created a classification model using OpenAI models to categorize posts into specific taxonomies based on titles and descriptions.- Developed a SCANN pipeline to align daily fetched RSS and France TV news with Brut’s media content.
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Education
- Engineering degree, Artificial IntelligenceOpenClassrooms2021Diplôme d'ingénieur, Intelligence artificielle
- Master 2 (M2), Mechanical EngineeringArts et Métiers ParisTech - École Nationale Supérieure d'Arts et Métiers2015Master 2 (M2), Ingénierie mécanique
Certifications
- Certified Kubernetes Application DeveloperLinux foundation2024
- Professional Data EngineerGoogle2022