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Resume

I’m Pieter Geelen, a seasoned professional with expertise in data and technology leadership. I’m highly motivated by challenging and complex projects, where I can leverage my technical and managerial skills to deliver exceptional results.

Having successfully led cross-functional teams and managed multimillion-euro projects, I have played a pivotal role in driving technological advancements. My leadership style is rooted in a coaching approach, empowering individuals to achieve their full potential while fostering a collaborative and results-oriented environment.

With a strong background in machine learning, data engineering, software development and system engineering, I bring extensive knowledge in designing robust architectures, optimizing performance, and ensuring scalability. My expertise also encompasses project management, strategic planning, and stakeholder engagement.

If you’re looking for a dynamic professional who can combine technical prowess with managerial finesse to elevate your projects, let’s connect. You can reach out to me via the contact page. Together, we can achieve remarkable success!

My resume is also available as PDF.

Qualifications

Roles
Data Scientist
Data Engineer
DevOps/SRE developer
Technical and Unit Leader
Product Owner/Man.
Expertise
AI/ML/LLM
Software Development
HPC and HAC computing
IoT/Embedded
Observability
CI/CD
Programming Languages
Python
R (Statistics)
JavaScript
SQL
Git
Rust
Frameworks/Tools/Technologies
Kubernetes/Docker/KVM
Tofu/Terraform
Ansible
ArgoCD
Observability (ELK and Grafana Stack)
Linux
Cloud/Compute
Cloud Native/OpenStack
GCP/AWS/Azure
Edge processing and NPUs
GPU accelerated workloads
Certifications
For all 130+ certificates, please check LinkedIn

Timeline

Track-Record
Oct 2023 - Sep 2024
Interim Senior DevOps Engineer

This project involves the largest Office Supplies reseller in Germany, that is rebuilding its cloud infrastructure using OpenStack. State-of-the-art tools like Kubernetes, Helm, Ansible, Terraform and ArgoCD are used for deployment. The scope includes data related topics too, like an Apache Hadoop/Spark migration.

Aug 2023 - Oct 2023
Inventory Management App with AI
Consultancy project to design, plan and support the development of an Android Native app using Flutter. Core features included edge AI processing of imagery to QA business processes. Click here for more info.
Jun 2023 - Aug 2023
Fashion and AI
Consultancy project to validate the current code-base of a newly  developed application and support further development, architecture and documentation. Click here for more info.
May 2023 - Jul 2023
Industry and Digital Transformation​
Consultancy project for roadmapping digital transformation in the process industry focussing on OT and IT systems and what infrastructure can enable data-driven decision making within the organization. Click here for more info.
Nov 2022 - Mar 2023
SaaS @Keelvar

As a former Tech Lead Platform at Keelvar, I held the responsibility of managing the platform team and supervising the development, maintenance, and enhancement of essential services for the sourcing and procurement SaaS platform. The scope included: DevOps engineering, Infrastructure as Code (IaC), and CI/CD processes.

Jan 2022 - Oct 2022
IoT @GrandCentrix

As a Product Owner in the IoT space, I was responsible for hardware and software development, manufacturing, production, and service delivery. Additionally, I was tasked with rescuing failing projects by connecting requirements, scope, and budget with development teams and stakeholders.

June 2019 - Oct 2021
AI @Sitech

As a Data Scientist, I spearheaded the building of a data-science/-engineering team, achieving exceptional results that ultimately led to my promotion to Manager of Data and Technology. Notably, I developed an Auto-ML pipeline for the CBM solution, utilizing maintenance records and sensory data to deliver fast, cost-effective, and easily interpretable insights. Additionally, I designed and implemented a cloud-based event-driven solution in Azure specifically tailored for CBM. Other activities included R&D projects in the areas of IIoT and Smart Sensoring, focusing on edge-processing and hybrid modeling, while securing funding to support these initiatives.

Jan 2018 - Mar 2019
Academia @BISS

During my PhD candidacy, I conducted research on algorithmic transparency and GDPR-compliance at Business Intelligence & Smart Services (BISS) research organization. I presented my findings on an AI project at INFORMS in Phoenix, Arizona. Additionally, I supported projects that utilized computer vision and AI technologies by setting up the hardware and software for ML and AI.

< Jan 2018

For more details about my experiences, please check out my LinkedIn page.

Education
Feb 2017 - Dec 2017
MSc: Information Management & Business , University of Maastricht, Netherlands

A Master’s degree in International Business: Information Management and Business Intelligence. Thesis topic: "Are clustering algorithms truely relevant in Marketing Analytics?". Education was completed within 10 months instead of 12.

Sept 2008 = June 2014
BSc: Health Science (Epidemiology), University of Maastricht, Netherlands

Major in Biology. Thesis topic: "Are plant-based protein sources viable for the current world population?". 

Aug 1995 — July 2008
European Baccalaureate, European School Munich, Germany

International European school. Attended the Model United Nations in Munich.

Languages

  • English
    100%
  • German
    99%
  • Dutch
    100%

Interests

AI on the Edge

I am a strong believer in doing more with less. Use-cases like those of TinyML, dedicated AI hardware and smart approaches to data-collection and networking are the future of how we turn signals into actionable information. 

Engineering

I love to tinker, which often leads me to develop hardware and software products. IoT is a big part of that hobby. In particular, I appreciate the physical aspects of electro engineering with the virtual side of software engineering. 

Cooking

You should really try my lemon-meringue pie! 

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