10/30/2026 updated
100 % available
AI / ML Engineer | Secure AI Applications | Consultant
Amsterdam, Netherlands
Worldwide
M.Sc., Economics - Utrecht University (2018)Artificial IntelligenceApache AirflowCloud EngineeringMachine LearningPredictive AnalyticsTensorFlowAzure Machine LearningAzure Data FactoryGenerative AIInfrastructure as Code (IaC)CloudformationScikit LearnAWS Data AnalyticsMachine Learning OperationsCloudwatch
Cloud & Infrastructure (AWS & Azure)
Expertise in AWS services including VPC, networking, ECS, SageMaker, Bedrock, and CloudWatch, as well as Azure Data Factory and Synapse. Proficiency in Kubernetes, Docker, and Infrastructure as Code using Terraform and CloudFormation.
Machine Learning & AI Engineering
Deep knowledge of TensorFlow, scikit-learn, LightGBM, CatBoost, time-series forecasting, physics-informed ML, fault/anomaly detection, LLMs and agentic systems (RAG, tool-use), Langchain, Langgraph, and Langfuse.
MLOps / LLMOps
Strong background in model deployment and serving, training and deployment pipelines, monitoring and observability using Grafana and CloudWatch, and CI/CD for ML workflows.
Data Engineering
Proficiency in Python, SQL, ETL/ELT pipelines, and Airflow orchestration. Experience with Databricks, ClickHouse, PostgreSQL, Teradata, and Opensearch for large-scale data processing and storage.
AI Coding Assistants
Thorough experience working with Claude Code, GitHub Copilot, and Codex to accelerate development workflows.
Digital Twins & Predictive Analytics
Design and delivery of production-grade digital twins and high-frequency power forecasting platforms for large solar PV portfolios, with emphasis on scalability and system reliability.
Enterprise Security for AI Platforms
Implementation of enterprise-grade security measures including SSO integration and fine-grained RBAC policies across cloud and data resources.
Data Lakehouse & Data Warehouse Solutions
Delivery of lakehouse and data-warehouse solutions on Databricks and Snowflake, covering ingestion, transformation, and data modelling.
AWS Certifications
AWS Certified Solutions Architect - Associate (2020) and AWS Certified Machine Learning - Specialty (2020).
Expertise in AWS services including VPC, networking, ECS, SageMaker, Bedrock, and CloudWatch, as well as Azure Data Factory and Synapse. Proficiency in Kubernetes, Docker, and Infrastructure as Code using Terraform and CloudFormation.
Machine Learning & AI Engineering
Deep knowledge of TensorFlow, scikit-learn, LightGBM, CatBoost, time-series forecasting, physics-informed ML, fault/anomaly detection, LLMs and agentic systems (RAG, tool-use), Langchain, Langgraph, and Langfuse.
MLOps / LLMOps
Strong background in model deployment and serving, training and deployment pipelines, monitoring and observability using Grafana and CloudWatch, and CI/CD for ML workflows.
Data Engineering
Proficiency in Python, SQL, ETL/ELT pipelines, and Airflow orchestration. Experience with Databricks, ClickHouse, PostgreSQL, Teradata, and Opensearch for large-scale data processing and storage.
AI Coding Assistants
Thorough experience working with Claude Code, GitHub Copilot, and Codex to accelerate development workflows.
Digital Twins & Predictive Analytics
Design and delivery of production-grade digital twins and high-frequency power forecasting platforms for large solar PV portfolios, with emphasis on scalability and system reliability.
Enterprise Security for AI Platforms
Implementation of enterprise-grade security measures including SSO integration and fine-grained RBAC policies across cloud and data resources.
Data Lakehouse & Data Warehouse Solutions
Delivery of lakehouse and data-warehouse solutions on Databricks and Snowflake, covering ingestion, transformation, and data modelling.
AWS Certifications
AWS Certified Solutions Architect - Associate (2020) and AWS Certified Machine Learning - Specialty (2020).
Experience
Professional experience5 - 10 years
Freelancer since2022
Languages
EnglishFluentDutchNative speakerSpanishBasic knowledge
Project history
Architected and engineered a production-grade ML platform for a large solar PV portfolio, delivering digital twins and high-frequency power forecasting. Led end-to-end design of AWS AI infrastructure (VPC, ECS, SageMaker, Bedrock). Secured the AI platform with enterprise-grade security measures including SSO and RBAC. Established robust MLOps and LLMOps frameworks integrating Langfuse, automated retraining loops, and CI/CD. Owned the architectural lifecycle of an AI agent layer for O&M. Provided technical leadership and mentorship to junior developers.
Built cloud data pipelines and ETL/ELT workflows on Azure (Azure Data Factory and Synapse Analytics) to feed analytics and ML use cases. Delivered lakehouse and data-warehouse solutions on Databricks and Snowflake, covering ingestion, transformation, and data modelling.
Built and deployed data-science and engineering solutions in a large-scale production environment. Worked across AWS, Airflow, Kubernetes, scikit-learn, TensorFlow, and time-series modelling for predictive use cases. Engineered data pipelines and storage on PostgreSQL and Teradata, with monitoring and dashboards in Grafana.