
I am taking a MSc in Computer Science at NTNU, Trondheim.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
generative-uncertainty
November 22, 2025 – November 22, 2025
generative-uncertainty — GitHub repository
View Projectwireless-mesh-network
May 15, 2023 – May 21, 2023
wireless-mesh-network — GitHub repository
View ProjectCache-Dash
April 13, 2023 – April 13, 2023
Cache-Dash is the product created for the IDATT2105 Full-Stack Semester Project. It is a E-Commerce website constructed using a Spring Boot backend and Vue.js frontend with raw CSS for styling.
View Projectfull-stack
January 13, 2023 – March 31, 2023
This repository contains the course work for the full-stack application development class, IDATT2105, at NTNU.
View Projectnetwork-programming
January 9, 2023 – March 16, 2023
This repository contains the course work for the network programming class at NTNU.
View ProjectVR-Go-Kart
November 3, 2022 – November 3, 2022
In this project, David Adler, Gabe Labadie, and I created a 3d version of Mario Kart in Unity. We wanted to create immersion, so we used the haptic feedback and controllers to grip onto the steering wheel as with real life.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards personal and academic projects, demonstrating initiative and a passion for learning. The diversity of technologies (Python, C++, Java, JavaScript, Vue) indicates adaptability. However, the projects are predominantly academic/personal, and there is no information on professional work experience or team collaboration dynamics, making a comprehensive cultural fit assessment challenging. The target role is 'Data Scientist', and while Python/Jupyter Notebook projects align, the breadth of other technologies might indicate a broader interest rather than deep specialization in data science specific tools/libraries beyond basic scripting.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The provided data primarily focuses on technical projects and lacks information on collaboration, problem-solving approaches, or communication styles in a team setting.