AI, ML & Software Projects
A collection of projects, experiments, and production systems from my work across fintech and enterprise, plus my AI specialization at TU Delft.
Built with modern ML, data, backend, and cloud tooling.
About Me
I'm a a builder who enjoys mixing software engineering with AI/ML to create useful and fun products.
Hello! I'm Toon de Boer 👋
Professionally, I have worked on systems across fintech, banking, and enterprise environments, from internal platforms used by thousands of engineers to cloud-native side projects. The focus is usually on shipping reliable products end to end with tools like Python, Java, TypeScript, AWS, Azure, and PostgreSQL.
Academically, I completed an M.Sc. in Computer Science with an AI specialization at TU Delft, where I focused on machine learning, deep learning, recommendation systems, and MLOps practices for real software delivery.
This site is a lightweight overview of what I have built, learned, and experimented with across academic and professional projects.
Skills & Technologies
Tech stacks and tools I have used across academic work and production projects, with extra focus on AI/ML and data-intensive systems .
AI & ML Topics
ML & Data Technologies
Programming Languages
Backend, Cloud & Infra
Software Engineering Patterns
Frontend & Mobile
Featured Projects
A showcase of applications I've built, from mobile apps to web platforms.
Future Project Slot
This space is reserved for upcoming innovative projects that will showcase cutting-edge technologies and solutions.
Technologies:
Key Features:
- Coming Soon
- Stay Tuned
Professional Experience
Building production software with a strong foundation in backend engineering, cloud systems, and applied AI/ML.
Senior Analyst - Software Engineer
Accenture
Led development of a regulatory monitoring platform used by 8,000+ engineers at a major Dutch bank. Built scalable full-stack capabilities with React, TypeScript, Node.js, PostgreSQL, and Azure DevOps APIs, and improved observability through Split.io, Piano Analytics, and Splunk. Organized internal experimentation sessions with Cursor, OpenAI APIs, and Ollama, resulting in working prototypes and knowledge-sharing presentations. Completed internal trainings in Data Science, Generative AI, Data Management, and Data Visualization while mentoring engineers and interviewing software candidates.
Software Engineer
NAVARA
Developed enterprise web applications and backend integrations using Angular, Node.js, SQL, Azure, and C#. Built features for performance management, investment, and workflow automation platforms. Implemented CI/CD pipelines, automated testing, and scalable frontend state management while working with cross-functional teams in multiple client domains.
Client Projects
TruQu - performance & talent management software
May 2023 - Feb 2024 · 10 mos
Developed core features for performance and talent management software using Angular, Node.js, SQL, and Azure. Improved engineering delivery with CI/CD automation, Cypress end-to-end testing, technical planning, and architecture-focused implementation.
PWN
Jan 2023 - May 2023 · 5 mos
Modernized workflow automation capabilities by migrating Drupal forms to reusable Angular components and updating backend services with C#, Node.js, and SQL for better maintainability.
VanEck
Aug 2022 - Jan 2023 · 6 mos
Built Angular components and secure REST APIs for user identity verification and payment processing, including third-party integrations. Managed state with NgRx and supported releases across multiple environments.
Backend Software Engineer
Adyen
Conducted empirical research on software development workflows across engineering teams as part of thesis research. Analyzed GitHub workflow and merge request data with Python to evaluate engineering productivity and development efficiency. Automated invoice processing in Workday using Java, reducing manual effort by 40+ hours per month, and developed Java/SQL backend services integrated with the Adyen API for real-time payment demonstrations.
Master Thesis
Mar 2021 - Nov 2021 · 9 mos
Conducted a field study on migrating from trunk-based development to merge requests. Interviewed and surveyed developers across teams and analyzed GitHub data using Python. Delivered actionable insights that improved code quality and team velocity.
Backend Software Engineer
Finaps
Developed a high-performance decision engine in Scala using actor-model concurrency patterns. Reduced execution latency from 21 seconds to 1.2 seconds through architectural optimization.
Bachelor Thesis
Akka Decision Engine - Performance optimization using actor model architecture
Software Engineer
FBIdesign
Developed a React Native mobile application enabling construction workers to access tutorials, manuals, and operational knowledge on iOS and Android devices.
Academic Experience
Formal training in AI and software engineering, plus international academic experience across Europe and Asia.
M.Sc. in Computer Science
Delft University of Technology
Sep 2019 - Jul 2022
Relevant Coursework
Exchange Programs
Exchange Program - Universidad Politecnica de Madrid
Madrid, Spain
International exchange focused on advanced technical coursework in a multidisciplinary environment.
B.Sc. in Computer Science
Delft University of Technology
Sep 2016 - Jul 2019
Relevant Coursework
Exchange Programs
Minor - MBA Program - Beijing Institute of Technology
Beijing, China
International minor combining business and technology context for engineering decisions.
Certificates
AWS Certified Developer Associate - Amazon Web Services (Nov 2023)
Domain-Driven Design - Info Support (Mar 2023)
Let's Connect ✨
Ready to bring your next project to life? Let's discuss how we can work together.