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abdoulrahmanebande/README.md

Hi My name is Abdoul-Rahmane Bande

I am a Data Scientist who doesn't just build machine learning models in notebooks—I build, optimize, and deploy production-grade data systems end-to-end. My expertise spans across GenAI/RAG pipelines, MLOps cloud deployment, and modern data warehousing architectures. From designing high-throughput data engineering pipelines to setting up multi-cloud deployment structures, I bridge the gap between raw data infrastructure and production artificial intelligence. What I bring to a team: Generative AI & RAG Systems: Experienced in building production-ready Retrieval-Augmented Generation (RAG) applications from scratch. This includes configuring multi-format data ingestion, fine-tuning embedding processing, and managing advanced vector databases (Qdrant, Pinecone, FAISS) for optimized retrieval performance. Production MLOps: Dedicated to moving models out of local environments and into the cloud. Proven track record of deploying end-to-end ML models across multiple cloud providers using containerized workflows on AWS (ECR & ECS) and scalable deployments on Azure Web Apps. Modern Data Warehousing: Deep knowledge of building robust analytical architectures using the Medallion (Bronze, Silver, Gold) structural model. Expert in writing complex SQL and T-SQL to drive ETL processing, data modeling via star schemas, and engineering highly clean, analysis-ready data layers. Technical Core: GenAI / Vector Search: Qdrant, Pinecone, FAISS, Embedding Pipelines, RAG Ingestion Systems. MLOps & Cloud Infrastructure: AWS (ECS, ECR), Azure Web Apps, Docker, End-to-End ML Pipelines. Data Engineering & Analytics: SQL, T-SQL, Medallion Architecture, ETL Pipelines, Star Schema Data Modeling, Statistical Analysis. Always looking to connect with teams building scalable data products and next-generation AI platforms.

Skills

PythonDartMySQLFirebaseFlaskFlutterPyTorchTensorFlow

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