I’m a Data & AI Engineer specializing in MLOps, Cloud Data Engineering, and Generative AI.
I enjoy building scalable AI systems: from data pipelines to LLM-powered agents. with a focus on reproducibility, automation, and deployment in the cloud.
| Repository | Description | Tech |
|---|---|---|
| smart-driving-school | Examples using Python AI Agent frameworks that integrate with GitHub Models and Azure OpenAI. | Python, Azure OpenAI, LangChain |
| smart-driving-school-terraform | Infrastructure-as-Code setup for deploying AI agent backends and data pipelines. | Terraform, Python, Azure |
| MLops | Experiments on MLOps lifecycle automation: training, deployment, monitoring. | MLflow, GitHub Actions, Docker |
| mlops_sam_task | Integration of Segment Anything (SAM) models in MLOps workflows for vision tasks. | Python, Azure ML, Computer Vision |
| ML-engineer_chrun | Predict customer churn and recommend retention actions for telecom data. | scikit-learn, Jupyter, MLflow |
| Repository | Description | Tech |
|---|---|---|
| linkedin-profile-classifier | AI agent that classifies LinkedIn profiles by professional type (investor, mentor, founder). | Python, LangChain, OpenAI |
| GENAI-and-ETL-On-DPE | GenAI & ETL study on France’s DPE building energy dataset. | Python, Pandas, dbt |
| dbt_101 | Getting started with dbt and modular data transformation. | dbt, SQL |
| Paris_Airbnb_Study | Exploratory analysis of Airbnb reviews in Paris and France. | Jupyter, Pandas |
| Basic-Attention-Unet-ATLDS-apple-leaf-diseases-dataset-Semantic-Segmentation | Semantic segmentation of plant diseases using Attention U-Net. | PyTorch, CV, U-Net |
| Domain | Tools & Technologies |
|---|---|
| Programming | Python, SQL, PySpark |
| Data Science | Pandas, scikit-learn, NumPy, seaborn |
| Cloud & MLOps | Azure ML, Docker, MLflow, GitHub Actions |
| Generative AI | LangChain, RAG, AI Agents |
| Big Data & ETL | Databricks, Airflow, Kafka, dbt |
| Databases | SQL Server, PostgreSQL, SSIS |
| Infrastructure | Terraform, Azure DevOps |
| Visualization | Power BI, Matplotlib, Plotly |
- Master’s in Big Data & AI, ESTIA (2025)
- Azure AI Engineer Associate (AZ-102)
- Databricks Data Engineer Associate
- DP-700: Microsoft Fabric Data Engineer
© 2025 Faical Ammisaid — Building reliable AI pipelines in the cloud.