Developing software is not only about writing code; it is about creating unique experiences helping people and making everydays routine easier. My goal as a software engineer is to build and maintain software systems from which people profit while satisfying high standards of quality, usability, security and also privacy.
I am an open-minded, conscientious and orderly person recognizing opportunities when they arise. Currently, I am doing an internship at AWS in Berlin. I am planning to complete my Master's in early 2023.
Currently in first term of my Master's; planning on specializing in algorithm engineering as well as in machine-learning.
Took part in an exchange with the Chalmers University of Technology (Gothenburg, Sweden) in their Master's programme.
Stayed for almost one year until summer 2021.
Completed my Bachelor's in Summer 2020.
Achieved the best grade for the Bachelor thesis on Supervised Machine-Learning in the field of Hypergraph Partitioning.
Work can be accessed through this website.
Attended the university courses Basic Notions of Computer Science, Programming and Introduction to Algorithms, while still in school.
Won prizes from the German Physicists Society (DPG) and the German Mathematician Society (DMV) for excellent performances in those subjects.
Won the Ferry-Porsche prize from the Porsche company for excellent performances in Mathematics and Physics.
Working for the Redshift team at AWS in Berlin as a full-time team member.
Contributing to the Redshift Advisor, which makes suggestions on how to optimize database tables and queries.
Contributed as a software developer to the main product of the company; the B2B trading platform itscope.com.
Worked in a self-administered Scrum team on equal terms.
Participated in the final of the BWINF at the Hasso-Plattner Institute in Potsdam.
Developed ideas in teams for difficult computational problems such as the coordinator election problem in distributed networks.
Advanced knowledge in C#, Java, Python, and C/C++. Used Java with the Vaadin framework as a main language in my student job, and C++20 and Python for the Machine-Learning pipeline in my Bachelor thesis.
Familiar with common data structures, algorithms, and problems such as red-black trees, heaps and hashing. Worked on the Hypergraph Partitioning problem in my Bachelor thesis.
Participated in several Hackathons in the field of Machine-Learning and AI organized by companies like Daimler and Google. Achieved a third place in a Hackathon about Smart Grids organized by the energy utility company EnBW.
Experienced with common functional programming languages like Haskell and F#. Also familiar with the functional programming capabilities of Java, C#, Python and C++20.
Constantly experimenting with new upcoming technologies in different fields like Amazon Alexa Skills development, programming Smart Contracts, and developing applications for Quantum Computers within IBM's Qiskit framework.