Mohamed is available for hire
Hire MohamedMohamed Mbarki
Verified Expert in Engineering
Artificial Intelligence (AI) Developer
Rotterdam, Netherlands
Toptal member since August 5, 2025
Bio
Mohamed is an AI consultant and senior engineer with a strong record of deploying production-ready LLM and NLP solutions, API platforms, and secure cloud apps in public enterprises. He has worked mostly on projects in government and healthcare and delivers scalable, privacy-compliant systems with strategic impact.
Portfolio
Dutch Ministry of Health, Welfare and Sport
Agentic AI, Data Science, Data Engineering, Private Clouds, Kubernetes...
ICTU
Python, FastAPI, Vue 3, Docker, IT Consulting, Agile, Web Development...
ICTU
Python, FastAPI, Vue 3, Pydantic, SQLAlchemy, PostgreSQL, Docker...
Experience
- Python - 9 years
- Vue 3 - 8 years
- Artificial Intelligence (AI) - 6 years
- PostgreSQL - 5 years
- Azure - 5 years
- React - 5 years
- FastAPI - 4 years
- Natural Language Processing (NLP) - 4 years
Preferred Environment
MacOS, Docker, PyCharm, Teams, Zoom, Azure, Python, Kubernetes, Claude, OpenAI, Full-stack, Minimum Viable Product (MVP)
The most amazing...
...thing I developed is an AI pipeline for the Dutch government. It cut data processing time by 9,000x, speeding up financial operations by an exceptional margin.
Work Experience
Senior Data Consultant
2025 - PRESENT
Dutch Ministry of Health, Welfare and Sport
- Designed and delivered data infrastructure supporting national infectious disease surveillance, working with bioinformaticians, cloud engineers, and public health specialists to translate scientific requirements into reliable production systems.
- Developed workflow automations for the National Laboratory Surveillance Platform.
- Processed thousands of clinical cases, cohorts, and genomic data on Azure Kubernetes infrastructure.
- Defined architecture decisions and engineering standards for reliable orchestration, secure deployment, and reusable pipelines supporting additional pathogens.
- Connected on-premises data sources with cloud infrastructure and downstream surveillance applications.
- Developed and maintained public health applications, including SPIN and the Shiny Portal, and contributed to a portfolio of more than 30 dashboards.
Technologies: Agentic AI, Data Science, Data Engineering, Private Clouds, Kubernetes, Azure Kubernetes Service (AKS), Python, SQL, SQL Server, Excel 365, REST APIs, React, MacOS, Docker, PyCharm, Teams, Azure, Vue 3, Tailwind CSS, IT Consulting, Claude API, OpenAI API, Full-stack, Minimum Viable Product (MVP), User Interface (UI), Agentic AI Systems, API Design, APIs, LangGraph, Microsoft Azure, Testing, Performance Optimization, Performance, Azure Cloud Services, Strategy, Technology
Technical Consultant
2025 - 2025
ICTU
- Created and realized a national concept infrastructure for digital data exchange between private service providers and government data sources within the Dutch Federated Data System.
- Designed the technical integration of a concept government portal as a central authorization server for identity verification and consent management.
- Collaborated with security experts on architecture compliance with EU information security guidelines and relevant NEN-ISO/IEC standards.
- Set up API specifications and data source access based on OpenAPI.
- Worked out integration requirements for service providers and government data sources with specific requirements for authentication, authorization, and logging.
- Advised on the deployment of a complementary registry for pseudonyms and the protection of identifiable personal data.
- Led technical decisions on API security, scope management, and policy-based access control to ensure robust and secure integrations.
Technologies: Python, FastAPI, Vue 3, Docker, IT Consulting, Agile, Web Development, Prompt Engineering, Large Language Models (LLMs), Retrieval-augmented Generation (RAG), OpenAI, AI Prompts, Optical Character Recognition (OCR), Data Science, Time Series, Speech-to-Text (STT), SQL, Impact, Azure AI Document Intelligence, Azure AI Search, API Integration, React, Data, Microsoft Copilot, Agentic AI, Azure OpenAI Service, Model Context Protocol (MCP), Claude, Anthropic, Agentic Frameworks, Pytest, REST APIs, CI/CD Pipelines, Data Processing, Data Visualization, Pattern Recognition, Server-side PDF Generation, Vercel, AI Model Training, Model Evaluation, AI Copilots, AI Security, AI Agents, Automation, AI Integration, Claude Code, AI Architecture, Data Analysis, Data Engineering, Consulting, MacOS, PyCharm, Teams, Tailwind CSS, Kubernetes, Claude API, OpenAI API, Full-stack, Minimum Viable Product (MVP), User Interface (UI), Agentic AI Systems, API Design, APIs, LangGraph, Microsoft Azure, Testing, Performance Optimization, Performance, Azure Cloud Services, Strategy, Technology
Full-stack AI Engineer | Consultant
2022 - 2025
ICTU
- Collaborated on the design, development, and maintenance of 10+ projects of the Dutch Government, such as the Algorithm Register, the National ICT Dashboard, and several centralized AI services.
- Ran all projects successfully nationwide in production.
- Created AI tooling based on self-hosted open-source generative AI models and LLMs, as well as cloud platforms such as OpenAI, Microsoft Azure, Microsoft Copilot Studio, AWS, and GCP.
- Reduced processing time by a factor of 9,000 after designing and implementing efficient NLP algorithms for large-scale data correction based on the Dutch Chamber of Commerce trade register.
- Designed and developed several data submission portals for automated registration, processing, and correction of financial data of all governmental departments and ministries.
- Supported and guided 200+ government organizations during implementation phases for the Algorithm Register and data submission portals.
- Reviewed and reported the use of AI cloud solutions and software packages for compliance with European rules and regulations. Supervised and supported independent information security reviews and reported findings to management.
- Designed software architectures in accordance with the best practices and security standards of the Governmental Information Security Baseline (BIO).
- Created and developed web interfaces with TypeScript, Vue 3, and Tailwind CSS.
- Designed and developed API interfaces using the Python 3 FastAPI and Flask frameworks and SQLAlchemy.
Technologies: Python, FastAPI, Vue 3, Pydantic, SQLAlchemy, PostgreSQL, Docker, Docker Compose, PyCharm, Visual Studio Code (VS Code), Kubernetes, Azure, Amazon Web Services (AWS), Google Cloud Platform (GCP), Google Translate API, DeepL, Machine Translation, Red Hat OpenShift, Azure Kubernetes Service (AKS), Azure Cognitive Services, Microsoft Copilot Studio, Tailwind CSS, LangChain, Retrieval-augmented Generation (RAG), Open-source LLMs, OpenAI API, Machine Learning Operations (MLOps), IT Consulting, Natural Language Processing (NLP), Pandas, Agile, Scrum, Web Development, Artificial Intelligence (AI), Machine Learning, Prompt Engineering, Azure AI Studio, Large Language Models (LLMs), AI Design, OpenAI, AI Prompts, Vector Databases, Data Labeling, Supervised Machine Learning, Neural Networks, Labeling, Generative Artificial Intelligence (GenAI), Optical Character Recognition (OCR), Data Annotation, Geospatial Data, Data Science, Time Series, Time Series Forecasting, Demand Forecasting, Speech-to-Text (STT), Text-to-Speech (TTS), Speech Recognition, SQL, Impact, Azure AI Document Intelligence, Azure AI Search, Vector Search, API Integration, Data, Microsoft Copilot, Agentic AI, Azure OpenAI Service, Model Context Protocol (MCP), Claude, Anthropic, Agentic Frameworks, Pytest, REST APIs, CI/CD Pipelines, Data Processing, Data Visualization, Pattern Recognition, Server-side PDF Generation, Vercel, Predictive Analytics, Financial Modeling, AI Model Training, Model Evaluation, AI Copilots, AI Security, AI Agents, Automation, AI Integration, Claude Code, AI Architecture, Data Analysis, Data Engineering, Consulting, MacOS, Teams, Claude API, Full-stack, Minimum Viable Product (MVP), Localization, User Interface (UI), Agentic AI Systems, API Design, APIs, LangGraph, Microsoft Azure, Testing, Performance Optimization, Performance, Azure Cloud Services, Technology
Junior Researcher – AI in Medical Imaging
2021 - 2022
Erasmus MC
- Developed a deep learning AI model for calculating blood flow in DCE-MRI images at the Department of Radiology.
- Contributed to results that were used for future research on diagnosing knee problems in the elderly.
- Implemented RIM architecture in PyTorch supervised by medical scientists.
Technologies: PyTorch, Python, MATLAB, Deep Learning, PyCharm, MONAI, Docker, Visual Studio Code (VS Code), Pandas, Agile, Web Development, Artificial Intelligence (AI), Machine Learning, AI Design, Data Labeling, Supervised Machine Learning, Computer Vision, Neural Networks, Labeling, Generative Artificial Intelligence (GenAI), Optical Character Recognition (OCR), Data Annotation, Data Science, Time Series, Time Series Forecasting, Demand Forecasting, Speech-to-Text (STT), Text-to-Speech (TTS), SQL, Impact, Azure AI Search, Vector Search, API Integration, Data, Claude, Agentic Frameworks, Pytest, REST APIs, CI/CD Pipelines, Data Processing, Data Visualization, Pattern Recognition, Server-side PDF Generation, Predictive Analytics, AI Model Training, Model Evaluation, AI Agents, Automation, AI Integration, AI Architecture, Data Analysis, Data Engineering, Consulting, MacOS, Teams, Vue 3, Tailwind CSS, IT Consulting, Full-stack, User Interface (UI), Agentic AI Systems, API Design, APIs, Microsoft Azure, Testing, Performance Optimization, Performance, Azure Cloud Services, Technology
AI Software Developer
2021 - 2022
LUMC
- Contributed within the AI and value-based healthcare teams to develop a Python3-based automated workflow to help physicians improve the quality of care. The pipeline mainly processed patient-reported outcome and experience measures (PROMs and PREMs).
- Collaborated with physicians and AI experts to define functional requirements and comply with GDPR and Dutch data protection laws.
- Developed a centralized infrastructure to integrate AI models with existing systems, including Castor, PatientForms, SQL Server, and Power BI.
- Designed and created Power BI dashboards to present results.
- Analyzed unstructured text data in Python and transformers, with sentiment analysis and topic modeling.
- Optimized the performance of various transformer-based AI models.
Technologies: Python, PyTorch, Pandas, Microsoft Power BI, Power BI Desktop, Vue 3, Flask, Transformers, Hugging Face, PyCharm, IT Consulting, Natural Language Processing (NLP), SQLAlchemy, Docker Compose, Visual Studio Code (VS Code), Google Cloud Platform (GCP), Machine Learning Operations (MLOps), Agile, Scrum, Web Development, Artificial Intelligence (AI), Machine Learning, Azure AI Studio, AI Design, Data Labeling, Supervised Machine Learning, Neural Networks, Labeling, Generative Artificial Intelligence (GenAI), Optical Character Recognition (OCR), Data Annotation, Data Science, Time Series, Time Series Forecasting, Demand Forecasting, Speech-to-Text (STT), Text-to-Speech (TTS), Speech Recognition, SQL, Impact, Azure AI Search, API Integration, Data, Pytest, REST APIs, CI/CD Pipelines, Data Processing, Data Visualization, Pattern Recognition, Server-side PDF Generation, Predictive Analytics, AI Model Training, Model Evaluation, Automation, AI Integration, Data Analysis, Data Engineering, Consulting, MacOS, Docker, Teams, Azure, Tailwind CSS, Full-stack, Minimum Viable Product (MVP), User Interface (UI), API Design, APIs, Microsoft Azure, Testing, Performance Optimization, Performance, Azure Cloud Services, Technology
Experience
AI-PREM
https://www.lumc.nl/over-het-lumc/maatschappelijke-rol/waarde--en-datagedreven-zorg/cairelab-ai/ai-prem-verbetert-patientervaringen/An AI-driven tool developed by CAIRELab at Leiden University Medical Center (LUMC) that analyzes patient feedback to support quality improvement in healthcare. Instead of relying solely on standardized survey scores, AI‑PREM processes written comments from patients and classifies them by sentiment—positive, neutral, negative—and by topic, such as communication, teamwork, or organization.
The system uses NLP to analyze large volumes of feedback quickly and consistently. Results are presented in a dashboard that allows care teams to easily identify what patients appreciate and where improvements are needed. This enables hospitals to act on feedback in a timely and structured way, without the need for manual analysis.
Initially launched in a one-care pathway, the tool has been scaled to multiple departments within the hospital. It has proven to be a practical and scalable solution for making patient voices more visible and actionable in everyday healthcare decision-making.
The system uses NLP to analyze large volumes of feedback quickly and consistently. Results are presented in a dashboard that allows care teams to easily identify what patients appreciate and where improvements are needed. This enables hospitals to act on feedback in a timely and structured way, without the need for manual analysis.
Initially launched in a one-care pathway, the tool has been scaled to multiple departments within the hospital. It has proven to be a practical and scalable solution for making patient voices more visible and actionable in everyday healthcare decision-making.
Algorithm Register of the Dutch Government
https://algoritmes.overheid.nl/enA public platform that provides transparency about the use of algorithms in the public sector. It allows government bodies to document and disclose how algorithms are used in decision-making processes that affect citizens, including details about their purpose, functioning, risks, and governance measures. The goal is to strengthen public trust, enable accountability, and ensure responsible use of data and AI.
The register is part of a broader national effort to promote open government and aligns with emerging European AI regulations. By offering insight into both simple and complex algorithmic systems, the register supports informed public oversight and contributes to ethical and transparent digital transformation in government.
The register is part of a broader national effort to promote open government and aligns with emerging European AI regulations. By offering insight into both simple and complex algorithmic systems, the register supports informed public oversight and contributes to ethical and transparent digital transformation in government.
National Laboratory Surveillance Platform
https://github.com/RIVM-bioinformatics/gen-epix-api/tree/devRIVM needed a national surveillance capability that could turn fragmented laboratory, epidemiological, and genomic data into a dependable view of infectious-disease risk. The platform unifies cases, cohorts, and DNA sequences for Salmonella today, with an operating model designed to extend to other pathogens. The result is faster, traceable surveillance that public-health teams can trust and scale.
RIVM Data Visualization Portal
More than 30 analytical applications support RIVM's public-health decisions. Modernizing SPIN and the Shiny Portal keeps this critical estate responsive, reliable, and ready to evolve as research and operational priorities change. A common approach to performance, support, and reuse reduces operational friction and prepares selected capabilities for open-source adoption.
Privacy-pPreserving Federated Data Exchange
The Dutch Ministry of the Interior and Kingdom Relations needed a trusted way for citizens to authorize private service providers to use government-held data without weakening privacy or control. The proof of concept established a common model for identity, consent, purpose-limited access, and accountability across the Dutch Federated Data System. Every exchange can be authorized, recorded, and audited.
B4C Enterprise AI Platform
ICTU needed a practical foundation for using AI across the enterprise without compromising privacy, security, or operational control. B4C brings multiple leading AI ecosystems into a governed platform that teams can evaluate and use within approved boundaries. It turns fragmented experimentation into a maintainable institutional capability.
AI-enabled Content Management System
Government content teams face growing volumes of documents and information that are costly to review manually. The Dutch government's AI-enabled CMS brings virtual assistance into existing content workflows. The result is faster access to relevant information and a controlled way to introduce AI into day-to-day operations.
Education
2019 - 2022
Bachelor's Degree in Information Technology
University of Amsterdam - Amsterdam, Netherlands
Certifications
DECEMBER 2022 - PRESENT
Certified Scrum Master
Scrum.org
JANUARY 2019 - PRESENT
Certified Biomedical Data Engineer
DataCamp
Skills
Libraries/APIs
Vue 3, Pydantic, SQLAlchemy, OpenAI API, Pandas, React, REST APIs, Claude API, Google Translate API, Azure Cognitive Services, PyTorch
Tools
PyCharm, Docker Compose, AI Prompts, Pytest, Zoom, Microsoft Copilot, Azure OpenAI Service, Claude, Claude Code, Azure Kubernetes Service (AKS), Microsoft Power BI, Power BI Desktop, MATLAB, Apache Airflow, ChatGPT
Languages
Python, SQL, R, GraphQL, TypeScript
Frameworks
Tailwind CSS, Impact, Agentic Frameworks, LangGraph, Flask, RStudio Shiny
Paradigms
Testing, Agile, Scrum, Model Context Protocol (MCP), Automation, Business Intelligence (BI), UX Design, API Architecture, REST
Platforms
MacOS, Docker, Kubernetes, Visual Studio Code (VS Code), Azure AI Search, Azure, Amazon Web Services (AWS), Google Cloud Platform (GCP), Microsoft Copilot Studio, Azure AI Studio, Red Hat OpenShift, Vercel
Storage
PostgreSQL, Azure Cloud Services
Other
Teams, Artificial Intelligence (AI), Web Development, FastAPI, DeepL, Machine Learning, Prompt Engineering, Large Language Models (LLMs), OpenAI, Data Labeling, Supervised Machine Learning, Labeling, Generative Artificial Intelligence (GenAI), Optical Character Recognition (OCR), Data Annotation, Data Science, Time Series, Speech-to-Text (STT), Text-to-Speech (TTS), Speech Recognition, API Integration, Data, Data Processing, Data Visualization, Pattern Recognition, AI Agents, AI Integration, Data Analysis, Data Engineering, Consulting, OpenAI APIs, Full-stack, Minimum Viable Product (MVP), User Interface (UI), Agentic AI Systems, API Design, APIs, Microsoft Azure, Performance Optimization, Performance, Technology, IT Consulting, Natural Language Processing (NLP), Retrieval-augmented Generation (RAG), AI Design, Neural Networks, Geospatial Data, Time Series Forecasting, Demand Forecasting, Azure AI Document Intelligence, Agentic AI, Anthropic, CI/CD Pipelines, Server-side PDF Generation, Predictive Analytics, AI Model Training, Model Evaluation, AI Copilots, AI Security, AI Architecture, Localization, Machine Translation, LangChain, Open-source LLMs, Machine Learning Operations (MLOps), Transformers, Hugging Face, Deep Learning, MONAI, Private Clouds, Vector Databases, Computer Vision, Vector Search, Financial Modeling, SQL Server, Excel 365, Analytics, Enterprise Cybersecurity, Data Encryption, Front-end, Back-end, Medical Imaging, Medical Software, Strategy
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