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Aerospace Engineer Specialized in Machine Learning and Control Engineering.
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Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
master-thesis-final
November 20, 2024 – November 28, 2024
This repository contains the work conducted during my master thesis on spiking neural networks. For the hardware implementation I used a speck2e neuromorphic device from Synsense.
View Projectre-entry-simulation
November 19, 2024 – November 19, 2024
Simulation of a re-entry vehicle
View Projectpredator-prey-simulation
November 15, 2024 – November 15, 2024
This code contains a python simulation of the predator-prey problem
View Projectaircraft-model-svv
November 13, 2024 – November 19, 2024
Simulation, Verification & Validation of an aircraft numerical model.
View Projectmaster-thesis-preliminary
November 13, 2024 – November 19, 2024
This repository contains some of the python scripts I developed to work with the neuromorphic device speck2e from Synsense.
View Projectshapes2D
November 2, 2024 – November 2, 2024
This code defines geometric shapes with methods for checking point containment, shape overlaps, and visualizing.
View Projectcontact-dynamics-testbed
February 24, 2023 – February 24, 2023
This repository is the software interface to the Franka robot arm. It links C++ to Python throught communication channels and allows to control, monitor and collect data from the robot.
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and academic, focusing on simulations, robotics, and neuromorphic computing. This demonstrates a strong interest in research-oriented and complex technical challenges. The breadth of projects, while focused on Python, shows an ability to apply skills across different domains. However, the lack of team-based or industry projects makes it difficult to fully assess cultural fit for a collaborative corporate environment. The projects align well with a Data Scientist role that involves research, modeling, and simulation.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are concise and technical, but do not provide insight into collaboration, problem-solving approach, or communication style.