Experience

Deeploy

• Netherlands
• Data Infrastructure and Analytics
• 1 - 100 Employee

• DevOps Engineer

  • Jan 2023 - Present

  At Deeploy we create a platform for responsible AI. We make the deployment of machine learning models easy and robust and provide out of the box features such as explainability, monitoring and a human feedback loop. My work involves building and designing the platform from frontend till infrastructure. At Deeploy we create a platform for responsible AI. We make the deployment of machine learning models easy and robust and provide out of the box features such as explainability, monitoring and a human feedback loop. My work involves building and designing the platform from frontend till infrastructure.



IKEA

• Netherlands
• Retail
• 700 & Above Employee

• MLOps Engineer

  • Feb 2022 - Jan 2023

  At IKEA we created sales forecasts and integrated those in a custom built planning tool. I focused on setting up infrastructure and MLOps. At IKEA we created sales forecasts and integrated those in a custom built planning tool. I focused on setting up infrastructure and MLOps.



BigData Republic

• Netherlands
• IT Services and IT Consulting
• 1 - 100 Employee

• MLOps Engineer

  • Apr 2017 - Jan 2023

  At BigData Republic I worked as an MLOps engineer consultant. I was the engineering guild lead, provided trainings for various companies and was actively coaching colleagues. At BigData Republic I worked as an MLOps engineer consultant. I was the engineering guild lead, provided trainings for various companies and was actively coaching colleagues.



Politie Nederland

• Law Enforcement
• 700 & Above Employee

• MLOps Engineer

  • Apr 2020 - Feb 2022

  At the Dutch National Police our team built an Advanced Analytics Platform (AAP) where data scientists and data analysts can develop and deploy their models and dashboards. At the Dutch National Police our team built an Advanced Analytics Platform (AAP) where data scientists and data analysts can develop and deploy their models and dashboards.



Randstad

• Netherlands
• Human Resources Services
• 700 & Above Employee

• Data Scientist & Engineer

  • Feb 2018 - Mar 2020

  At Randstad I developed multiple recommender systems, from ideation phase to scaling it in the cloud. My role included both data science and data engineering activities, and took the lead for the vacancy recommender, making thousands of recommendations per day. At Randstad I developed multiple recommender systems, from ideation phase to scaling it in the cloud. My role included both data science and data engineering activities, and took the lead for the vacancy recommender, making thousands of recommendations per day.



Ahold Delhaize

• Netherlands
• Retail
• 700 & Above Employee

• Data Scientist

  • Jan 2018 - Jan 2018

  For Ahold I made an application where store revenues could be predicted, as well as how closing stores or opening/renewing stores would affect other nearby stores. For Ahold I made an application where store revenues could be predicted, as well as how closing stores or opening/renewing stores would affect other nearby stores.



Alliander

• Netherlands
• Utilities
• 700 & Above Employee

• Data Scientist

  • Nov 2017 - Dec 2017

  At Alliander I analyzed how the decrease of gas usage in the coming years will affect the energy network. At Alliander I analyzed how the decrease of gas usage in the coming years will affect the energy network.



Vialis

• Netherlands
• Information Technology & Services
• 400 - 500 Employee

• Data Engineer

  • May 2017 - Oct 2017

  At Vialis I worked on a traffic monitoring and statistics system that provides insights for clients about the performance of traffic regulation systems. The raw input from activity on the roads were processed using Kafka and statistics were calculated streaming and stored in Cassandra. I worked on the integration of Kafka and Cassandra and designed the database tables. At Vialis I worked on a traffic monitoring and statistics system that provides insights for clients about the performance of traffic regulation systems. The raw input from activity on the roads were processed using Kafka and statistics were calculated streaming and stored in Cassandra. I worked on the integration of Kafka and Cassandra and designed the database tables.



Pokercity

• Holland Casino

• Livereporter

  • Nov 2014 - Dec 2016

  Graphics specialist, live blogger pokercity.nl Graphics specialist, live blogger pokercity.nl



Alliander

• Netherlands
• Utilities
• 700 & Above Employee

• Intern - Data Scientist / Developer

  • 2015 - 2016

  I worked on two projects, route optimalization in a Geographical Information System that is used to distribute mechanics to workplaces. I used live traffic services to account for traffic jams and closed roads. The other project was classifying emergency service messages using a support vector machine. I implemented a web page that classified these messages live and show results on test data. Technologies used: Scikit learn, Flask, Python, C#, Esri, GIS I worked on two projects, route optimalization in a Geographical Information System that is used to distribute mechanics to workplaces. I used live traffic services to account for traffic jams and closed roads. The other project was classifying emergency service messages using a support vector machine. I implemented a web page that classified these messages live and show results on test data. Technologies used: Scikit learn, Flask, Python, C#, Esri, GIS