About Me

Software Engineer at the intersection of AI, cloud, and software architecture

I’m Arno Vanneste — a full-stack engineer with a strong academic foundation in electronics and artificial intelligence. I design and build secure, scalable platforms that integrate modern cloud infrastructure, AI-driven features, and thoughtful UX to solve real-world problems.

Background

Over the past five years, I've worked on a variety of projects across industries like identity and access management, healthcare, and educational technology. My experience spans full-stack development, cloud-native architecture, and AI-driven systems. Whether designing secure backend infrastructure or building intuitive front-end experiences, I focus on creating robust, high-performance systems that scale.

What Drives Me

I thrive where software engineering, cloud architecture, and AI converge. My goal isn’t just to build — it’s to architect robust, scalable systems that solve meaningful problems. I care deeply about clean architecture, technical excellence, and delivering long-term value through performance, security, and usability.

Arno Vanneste

Professional Journey

2022 - Present

Software engineer

AE

Azure

Delivering technical solutions from complex problems across various client projects.

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2024 - Present

Software engineer

GO!

ReactTypeScriptNext.jsTailwindCSSMicroservices.NETAzureEvent-driven

Developing a platform that provides educators with easy access to high-quality digital learning tools. The project focuses on creating a robust, centralised, user-friendly system to streamline the discovery, management and integration of educational content across various learning management systems.

2022 - 2024

Software engineer

Mediahuis

TerraformGitlabReactTypeScriptMicroservices.NETAzureEvent-driven

Developed an enterpise level CIAM platform. My work focused on enabling secure, scalable cross brand authentication experiences, working on both frontend and backend solutions, and managing cloud infrastructure and deployment processes to ensure everything runs smoothly and scales effectively. Took ownership of the data migration process, seamlessly migrating over 5 million user accounts across multiple countries.

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2021 - 2022

PhD Researcher

Augment Group, KU Leuven

Research on mixed-initiative explanation methods: the next generation of interactive machine learning steered with rich feedback of non-expert users. The overall objective of this research was to enable non-expert users to interact with ML models as a basis to improve the accuracy of such models and to increase user trust.

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Designing Visual Explanations and Learner Controls to Engage Adolescents in AI-Supported Exercise Selection

Publication, LAK 2025

Iteratively designed and implemented a control mechanism that enables learners to steer the difficulty of AI-compiled exercise series before practice, while interactively analysing their control's impact in a 'what-if' visualisation.

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2020 - 2022

Associate

Leuven AI Forum

AI EthicsTEDxLAIF

Organised different projects such as TED Events & AI Ethics workshops to connect students, academics and industry experts on important topics related to AI.

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Educational Journey

2020 - 2021

MSc Artificial Intelligence

KU Leuven

Magna Cum Laude

Focused on machine learning, data analysis, and the theoretical foundations of AI algorithms. Developed expertise in advanced programming and applications across domains such as information retrieval, bioinformatics, and computer vision.

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2020 - 2021

Thesis

LIRIS Research group

AIMachine learningPyTorchscikit-learnWeights & BiasesNeural networksITECausal machine learning

Thesis as internship at LIRIS Research group. Developed interpretable prediction methods for individual treatment estimation in healthcare, focusing on causal inference using machine learning.

2018 - 2020

MSc Electronics and ICT Engineering Technology

KU Leuven

Cum Laude

Specialized in Internet Computing, with a focus on distributed systems, software architecture, and advanced digital technologies. Developed expertise in designing scalable and efficient software solutions, cloud computing, and networked applications.

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2019 - 2020

Thesis

WOW Solutions

Thesis as internship at WOW-mobility. Designed and developed a self-service kiosk for a bike sharing system using user-centered design approaches.

2015 - 2018

BSc Industrial Sciences: Electronics & ICT

KU Leuven

Focused on embedded systems, networking, and software development, with an emphasis on innovation, sustainability, and real-world solutions.

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Certifications

  • Azure Developer Associate

    Microsoft

  • Vue, Complete Guide

    Udemy

Languages

  • English

    Professional proficiency

  • French

    Basic

  • Dutch

    Native