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I am Mohamed Aziz Mbarki, an AI & Data Engineer with 3+ years of experience designing end-to-end data pipelines, ETL/ELT workflows, and cloud-based data solutions. I specialize in building scalable data ingestion and transformation systems using Python, SQL, AWS, and Azure, and I continuously stay up to date with the latest open-source AI models to deliver production-ready, state-of-the-art solutions. I have a strong track record in SaaS architecture, MVP rapid prototyping, and AI-assisted development workflows with a solid focus on security. I routinely lead technical decisions, architect enterprise-grade systems, and drive measurable cost and efficiency improvements across data and AI platforms.…I am Mohamed Aziz Mbarki, an AI & Data Engineer with 3+ years of experience designing end-to-end data pipelines, ETL/ELT workflows, and cloud-based data solutions. I specialize in building scalable data ingestion and transformation systems using Python, SQL, AWS, and Azure, and I continuously stay up to date with the latest open-source AI models to deliver production-ready, state-of-the-art solutions. I have a strong track record in SaaS architecture, MVP rapid prototyping, and AI-assisted development workflows with a solid focus on security. I routinely lead technical decisions, architect enterprise-grade systems, and drive measurable cost and efficiency improvements across data and AI platforms.

Mohamed Aziz Mbarki

AI Engineer, Data Scientist, Full Stack Developer, +1

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I am Mohamed Aziz Mbarki, an AI & Data Engineer with 3+ years of experience designing end-to-end data pipelines, ETL/ELT workflows, and cloud-based data solutions. I specialize in building scalable data ingestion and transformation systems using Python, SQL, AWS, and Azure, and I continuously stay up to date with the latest open-source AI models to deliver production-ready, state-of-the-art solutions. I have a strong track record in SaaS architecture, MVP rapid prototyping, and AI-assisted development workflows with a solid focus on security. I routinely lead technical decisions, architect enterprise-grade systems, and drive measurable cost and efficiency improvements across data and AI platforms.…I am Mohamed Aziz Mbarki, an AI & Data Engineer with 3+ years of experience designing end-to-end data pipelines, ETL/ELT workflows, and cloud-based data solutions. I specialize in building scalable data ingestion and transformation systems using Python, SQL, AWS, and Azure, and I continuously stay up to date with the latest open-source AI models to deliver production-ready, state-of-the-art solutions. I have a strong track record in SaaS architecture, MVP rapid prototyping, and AI-assisted development workflows with a solid focus on security. I routinely lead technical decisions, architect enterprise-grade systems, and drive measurable cost and efficiency improvements across data and AI platforms.

Available to hire

I am Mohamed Aziz Mbarki, an AI & Data Engineer with 3+ years of experience designing end-to-end data pipelines, ETL/ELT workflows, and cloud-based data solutions. I specialize in building scalable data ingestion and transformation systems using Python, SQL, AWS, and Azure, and I continuously stay up to date with the latest open-source AI models to deliver production-ready, state-of-the-art solutions.

I have a strong track record in SaaS architecture, MVP rapid prototyping, and AI-assisted development workflows with a solid focus on security. I routinely lead technical decisions, architect enterprise-grade systems, and drive measurable cost and efficiency improvements across data and AI platforms.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Language

Arabic

Fluent

English

Advanced

French

Advanced

Work Experience

Data Scientist & AI Engineer at Deepcortex

September 1, 2024 - Present

Led the design and implementation of end-to-end AI-driven data pipelines across HR, insurance, and document workflows. Built TalentFlow for automated job offer generation, resume ingestion and embeddings, AI-based candidate scoring and ranking, interview scheduling, and salary-offer workflows to automate the full recruitment lifecycle. Developed an offline BIAT GPT assistant on RTX 5080 with a complete data pipeline (document processing → embeddings (EmbeddingGemma) → vector storage (Qdrant) → semantic reranking (BGE-Large-EN-v1.5) → LLM inference (Gemma 3 27B quantized)), enabling private knowledge queries with 95% user satisfaction and zero cloud exposure. Created a document-tracking platform for Komax, including an AI-driven XPath-based HTML parsing and component extraction pipeline. Maintained ETL/ELT pipelines for vector DBs and SQL warehouses; built data models and optimized queries for cloud warehouses (AWS, Azure). Built Power BI dashboards and led architectural decisio

Data Engineer at Naxxum Group

January 1, 2024 - September 1, 2024

OPTIMA: Built full ETL pipeline for intelligent invoice processing using PaddleOCR and Tesseract; designed SQL schemas and complex transformations; loaded into AWS RDS for analytics and reporting. LoyalFit: Delivered real-time KPI dashboards with ETL layers in Power BI. Cluster Trade: Developed data layer for a B2B platform enabling group buying transactions. Designed and maintained data preparation and cleaning workflows for AI model training with Python (Pandas, NumPy). Ensured data quality via validation rules and automated integrity checks.

Data Science Intern – Recruitment Automation at Naxxum Group (Naxxtal Project)

June 1, 2023 - August 31, 2023

Implemented an LLM-based data pipeline using Mistral 7B for automated job description generation and structured CV extraction/ranking. Developed dataset cleaning and candidate-matching algorithms to convert unstructured CV data into queryable formats.

Data Science Intern – Document Intelligence at Jossor Group

June 1, 2022 - August 31, 2022

Built OCR data pipeline for intelligent document processing (invoices, bills of lading, customs declarations), including entity extraction and automated ERP data import using vision models.

Final Year Project – Anomaly Detection System at STEG Central Generation

January 1, 2022 - July 1, 2022

Designed an embedded monitoring system with real-time data acquisition and LabVIEW visualization interface; successfully deployed in production.