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AI Software Engineer
I’m a software engineer with a background in financial services and back-end systems. At EFTN, a financial technology startup, I'm now focusing on agentic AI, cloud computing, and cybersecurity. Previously, I co-founded and led a proprietary equity trading firm, where I built an automated trading system in C++ and managed daily operations. I’m passionate about applying my expertise in financial systems to drive innovation through AI integration, scalable cloud infrastructure, and secure system design. You can find some of my open-source and experimental projects here: github.com/Nigel-Moes
Vrije Universiteit Amsterdam (VU Amsterdam)
Doctor of Philosophy - PhD, Game Theory
January 1, 2008 – January 1, 2012
Vrije Universiteit Amsterdam (VU Amsterdam)
Bachelor's degree, Mathematics (12 courses)
January 1, 2008 – January 1, 2010
Tilburg University
Master of Philosophy - MPhil, Mathematical Economics
January 1, 2006 – January 1, 2008
University of Amsterdam
Bachelor's degree, Economics and Business
January 1, 2003 – January 1, 2006
Meerdervoort®
Data Migration Consultant
March 1, 2026 – Present
Zwijndrecht · On-site
EFTN
AI Software Engineer
May 1, 2023 – Present
Ouderkerk aan de Amstel · Hybrid
ING
Freelance Model Developer
February 1, 2019 – December 1, 2020
Amsterdam, Noord-Holland, Nederland · Hybrid
ABN AMRO Bank N.V.
Freelance Modelling Analyst
November 1, 2018 – December 1, 2018
Amsterdam, Noord-Holland, Nederland · On-site
Fixed Point
Chief Executive Officer
September 1, 2017 – March 1, 2023
Almere, Flevoland, Nederland · Hybrid
ABN AMRO Bank N.V.
Technical Consultant
February 1, 2016 – May 1, 2018
Amersfoort · On-site
Van Lanschot Kempen
Quantitative Analyst
June 1, 2015 – October 1, 2015
Amsterdam, Noord-Holland, Nederland · On-site
ABN AMRO Bank N.V.
Modeling Analyst
April 1, 2013 – April 1, 2015
Amsterdam, Noord-Holland, Nederland · On-site
Vrije Universiteit Amsterdam
Ph.D. Researcher in Game Theory
September 1, 2008 – August 1, 2012
Amsterdam, Noord-Holland, Nederland · On-site
Cortex-M Software Development Fundamentals
Arm
June 23, 2026 – Present
NVIDIA DLI Certificate - Accelerating CUDA C++ Applications with Concurrent Streams
NVIDIA
June 23, 2026 – Present
Spring Boot 3, Spring 6 & Hibernate for Beginners
Udemy
June 23, 2026 – Present
Deploy Java Spring Apps Online to Amazon Cloud (AWS)
Udemy
June 23, 2026 – Present
Arm Cortex-M Processors Overview
Arm
June 23, 2026 – Present
NVIDIA DLI Certificate - Fundamentals of Accelerated Computing with CUDA Python
NVIDIA
June 23, 2026 – Present
NVIDIA DLI Certificate - Fundamentals of Accelerated Computing with CUDA C/C++
NVIDIA
June 23, 2026 – Present
Learning C#
June 23, 2026 – Present
C#: Collections
June 23, 2026 – Present
edX Verified Certificate for Embedded Systems Essentials with Arm: Getting Started
Arm
June 23, 2026 – Present
edX Verified Certificate for Embedded Systems Essentials with Arm: Get Practical with Hardware
Arm
June 23, 2026 – Present
Design Patterns in Java
Udemy
June 23, 2026 – Present
Advanced Armv8-M Features
Arm
June 23, 2026 – Present
Neural Networks and Deep Learning
DeepLearning.AI
June 23, 2026 – Present
Structuring Machine Learning Projects
DeepLearning.AI
June 23, 2026 – Present
NVIDIA DLI Certificate - Scaling Workloads Across Multiple GPUs with CUDA C++
NVIDIA
June 23, 2026 – Present
C#: Delegates, Events, and Lambdas
June 23, 2026 – Present
edX Verified Certificate for Algorithms: Design and Analysis, Part 1
Stanford University
June 23, 2026 – Present
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
DeepLearning.AI
June 23, 2026 – Present
C#: Interfaces and Generics
June 23, 2026 – Present
Java Developer
JetBrains
June 23, 2026 – Present
edX Verified Certificate for Algorithms: Design and Analysis, Part 2
Stanford University
June 23, 2026 – Present
Armv8-M Architecture Fundamentals
Arm
June 23, 2026 – Present
Cultural Fit Analysis
The candidate's background is heavily rooted in quantitative finance and academic research, with a recent pivot towards AI/ML engineering. Their freelance and CEO experience suggests an entrepreneurial and independent work style. While the technical skills align with an ML Engineer role, the cultural fit would depend on the specific team dynamics and the company's emphasis on collaborative, agile environments versus independent, research-driven work. The breadth of certifications indicates a strong drive for continuous learning and skill acquisition, which is a positive cultural indicator. However, the lack of diverse project types outside finance and trading might indicate a narrower application focus.
Soft Skills & Operational Fit
The candidate's extensive experience in freelance roles and as a CEO suggests strong autonomy, problem-solving skills, and the ability to manage complex projects independently. Their PhD research and teaching experience indicate strong analytical and communication skills. The diverse project background, including financial modeling and automated trading systems, points to adaptability and a results-oriented approach. However, without specific psychometric test results, a detailed assessment of stress handling, work attitude, and team collaboration is not possible.