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I'm Sofronia Nikolaou, I am doing a dual Master’s student in Artificial Intelligence and Computational Science at Vrije Universiteit Amsterdam and the University of Amsterdam, focusing on reinforcement learning and dynamic modeling. I enjoy turning abstract AI concepts into practical, scalable solutions and collaborating across academia and industry to drive impact in startup environments. In parallel to my studies, I lead technical instruction as a Head Teaching Assistant, guide multiple lab groups, and mentor students. I have hands-on experience building AI solutions with Python, PyTorch, Unity, 3D Blender, ParaView, and large-scale system simulations, and I thrive in fast-paced settings where technical excellence and teamwork matter. My goal is to apply interdisciplinary training to real-world AI problems, especially in risk modeling and decision-making domains.…I'm Sofronia Nikolaou, I am doing a dual Master’s student in Artificial Intelligence and Computational Science at Vrije Universiteit Amsterdam and the University of Amsterdam, focusing on reinforcement learning and dynamic modeling. I enjoy turning abstract AI concepts into practical, scalable solutions and collaborating across academia and industry to drive impact in startup environments. In parallel to my studies, I lead technical instruction as a Head Teaching Assistant, guide multiple lab groups, and mentor students. I have hands-on experience building AI solutions with Python, PyTorch, Unity, 3D Blender, ParaView, and large-scale system simulations, and I thrive in fast-paced settings where technical excellence and teamwork matter. My goal is to apply interdisciplinary training to real-world AI problems, especially in risk modeling and decision-making domains.

Sofronia Nikolaou

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I'm Sofronia Nikolaou, I am doing a dual Master’s student in Artificial Intelligence and Computational Science at Vrije Universiteit Amsterdam and the University of Amsterdam, focusing on reinforcement learning and dynamic modeling. I enjoy turning abstract AI concepts into practical, scalable solutions and collaborating across academia and industry to drive impact in startup environments. In parallel to my studies, I lead technical instruction as a Head Teaching Assistant, guide multiple lab groups, and mentor students. I have hands-on experience building AI solutions with Python, PyTorch, Unity, 3D Blender, ParaView, and large-scale system simulations, and I thrive in fast-paced settings where technical excellence and teamwork matter. My goal is to apply interdisciplinary training to real-world AI problems, especially in risk modeling and decision-making domains.…I'm Sofronia Nikolaou, I am doing a dual Master’s student in Artificial Intelligence and Computational Science at Vrije Universiteit Amsterdam and the University of Amsterdam, focusing on reinforcement learning and dynamic modeling. I enjoy turning abstract AI concepts into practical, scalable solutions and collaborating across academia and industry to drive impact in startup environments. In parallel to my studies, I lead technical instruction as a Head Teaching Assistant, guide multiple lab groups, and mentor students. I have hands-on experience building AI solutions with Python, PyTorch, Unity, 3D Blender, ParaView, and large-scale system simulations, and I thrive in fast-paced settings where technical excellence and teamwork matter. My goal is to apply interdisciplinary training to real-world AI problems, especially in risk modeling and decision-making domains.

Available to hire

I’m Sofronia Nikolaou, I am doing a dual Master’s student in Artificial Intelligence and Computational Science at Vrije Universiteit Amsterdam and the University of Amsterdam, focusing on reinforcement learning and dynamic modeling. I enjoy turning abstract AI concepts into practical, scalable solutions and collaborating across academia and industry to drive impact in startup environments.

In parallel to my studies, I lead technical instruction as a Head Teaching Assistant, guide multiple lab groups, and mentor students. I have hands-on experience building AI solutions with Python, PyTorch, Unity, 3D Blender, ParaView, and large-scale system simulations, and I thrive in fast-paced settings where technical excellence and teamwork matter. My goal is to apply interdisciplinary training to real-world AI problems, especially in risk modeling and decision-making domains.

Skills

Experience Level

Expert

Expert

Expert

Expert

Language

English

Fluent

Greek, Modern

Fluent

Work Experience

AI Intern at AndWider

September 1, 2025 - September 1, 2025

Co-developed RAPT, a predictive analytics engine that translates rightsholder data into proactive risk insights for human-centered due diligence. Implemented data processing pipelines to convert raw field experiences into predictive features, enabling companies to shift from reactive to proactive risk management. Engineered and optimized API integrations to automate internal workflows, significantly reducing manual data entry for the sales and operations teams. Collaborated in a fast-paced startup environment to deliver a market-ready product launched in September 2025.

Head Teaching Assistant: Dynamic Modelling at Vrije Universiteit Amsterdam

February 1, 2025 - March 31, 2025

Led technical instruction for Human-Centered Systems; managed 5 lab groups and evaluated algorithmic models. Mentored 20+ students on system dynamics, achieving an 85% passing rate in final project submissions.

Teaching Assistant at Vrije Universiteit Amsterdam

September 1, 2023 - May 31, 2024

Python Programming / History of Science: Directed weekly programming labs for 30+ students; coordinated scheduling and grading distribution for the faculty.