Boshra Ariguib

• 1st Specialization: Theoretical Computer Science and Scientific Computing
• 2nd Specialization: Intelligent Systems

Exchange semester as part of M.Sc. in Computer Science. Machine Learning track, completed with grade very good (A).

Graduated with the grade very good (1.6). Thesis: Second-order projection-based mapping methods for coupled multi-physics simulations.

Supervised multiple tutorial groups for Theoretical Computer Science I, II, and III. Responsibilities included grading assignments and explaining exercise tasks. Covered topics include Logic and Discrete Structures, Formal Languages and Automata Theory, Computability and Complexity, and Algorithmics.

Supervised a cognitive neuroscience experiment involving EEG and eye-tracking setup. Configured participant-facing screens using OpenSesame software, set up EEG and Eye-tracking hardware, guided participants, collected data, and performed data analysis. Contributed to the open-source MNE-BIDS Python library by implementing a new EEG filtering method via Pull Request.

Part of the Product Development and Management team at ChargeHere, a company focused on expanding EV charging infrastructure. Researched and implemented data science models to analyze the internal monitoring system using InfluxDB Framework. Processed sensor data from charging stations to generate business insights, developed a reporting system, and explored future business models including Smart Charging and Load Optimization.

Part of the development team for B2B banking software written in Java. Developed UI components, adapted the data model using SQL, replaced outdated components with modern libraries, and automated configuration file generation with Bash scripts.

During bachelor thesis, developed a new projection-based method for mapping data between coupled simulations and contributed to the open-source preCICE library.

Regular contributor to the open-source Pluto.jl project, a notebook implementation for Julia. Participated in creating Featured Notebooks that showcase the tool's most prominent features while explaining mathematical and computational concepts.

Teaching children from marginalized communities musical theory and instruments in Florianopolis, southern Brazil.

As team leader, responsible for operational development of social volunteer projects. Shared responsibility for overall development of AIESEC local committee in Stuttgart and Hohenheim. Led and strategically guided the local committee, coordinated a team of up to 7 people, and developed marketing strategies.

Responsible for support and guidance of students going abroad for volunteer projects, and planning and implementation of marketing activities in Stuttgart and surrounding areas.

Fair Hostess, Marketing Promoter

Running, Swimming, Skiing, Cooking, Traveling, Language Learning, Playing Piano