Felix Schlösser

Junior Software Engineer / Consultant

Experience

Sozialbehörde Hamburg (Amt Z)
2023 – 2024

Technical Consultant Public Sector Digitalization

Requirements-Engineering OpenAPI Low-Code BPMN

Implemented Architecutral Decision Records and the C4-Model to document and optimize software architectures and processes. Guided requirements engineering through structured workshops and technical analyses. Ensured and documented GDPR compliance and compliance the standards of the Federal Office for Information Security (BSI). Prepared management summaries for strategic technical decisions.


TU-Hamburg (AStA)
2019 – 2023

Full-Stack Web Developer and Sysadmin

Django Wagtail-CMS Pretix Ticketing Bookstack Wiki

Developed and deployed a custom CMS backend and frontend, as well as internal CRUD web applications. Deployed and operated several on-premises services on virtual machines using Ansible; including observability metrics and alerting.


TU Hamburg (Institute for Secure Cyberphysical Systems)
2023

Tutor: Python for Data Analysis

pandas matplotlib scikit-learn

Taught weekly classes for up to 20 students. Topics included everything from algorithms to data analysis, visualization and machine learning.


TU Hamburg (Institute for Communication Networks)
2018 – 2023

Tutor: Computer Networks and Internet Security

Lehrpreis 2020 Raspberry Pi wireshark netem

Developed and taught weekly Rasberry Pi based labs for up to 25 students. Topics included the OSI model, network programming and IP, TLS and DNS security.


TM Rescue-Respiration UG (Hamburg, Germany)
2020 – 2022

User Interface Developer for a Medical Device

V-Modell Model-View-Presenter PyQt5 pytest

Designed, developed and deployed a graphical user interface for an open hardware ventilator, created by a small team of volunteers. Financed by the German Federal Ministry for Economic Cooperation and Development and certified by TÜV-Süd for manufacturing in newly industrialized countries.


Rongheng Information Technology Co. (Shanghai, China)
2019

Intern: Computer Vision based Quality Control

SCRUM docker jupyter scikit-image

Researched and developed a computer vision based industrial quality control system to identify defects in glossy, curved surface, metal parts. Created a capture setup and a dataset of 1000+ images. Developed a containerized jupyter notebook based prototype using edge detection and morphological operations for feature extraction.


References available upon request.

Thesis

Insitute for Software Security

Privacy Threats in Exposure Notification Protocols: A LINDDUN-driven Approach

Grade 2.0 Threat Modeling Bluetooth LE DP-3T

Reviewed existing literature to extract a dataset of known privacy threats; created a Data Flow model and used the LINDDUN threat trees to elecit privacy threats. This enabeled the identification of novel privacy threats and provided new insights into the effectiveness of the LINDDUN and DFD based threat modeling when applied to distributed software systems.

Supervisors: Prof. Dr. Riccardo Scandariato, Dr. Nicolás Díaz Ferreyra

Skills

Python

advanced

Web Backend GUI Data Analysis ML

Linux DevOps

intermediate

Ansible GitLab CI/CD prometheus

Databases

intermediate

PostgreSQL DuckDB Redis MongoDB

System Design

intermediate

Micoservices Client-Server JAMStack

Rust

intermediate

Personal Projects

Haskell

basic

University Projects

HTML / CSS (+ JS)

intermediate

Client Homepages

Soft Skills

Teamwork & Communication

  • First chair of the board of student representatives (AStA)
  • Scout leader
  • NGO volunteering

Languages

German

Native


English

C1


French

B2


Japanese

JLPT N4


Education

Germany

2016 – 2024

Computer Science (B.Sc.)

Technische Universität Hamburg


France

2022

Erasumus+

Université de Technologie de Compiègne


Tokyo, Japan

2015 – 2016

Asian Languages and Cultures Certificate

ISI Language School


Eupen, Belgium

2009 – 2015

Abitur

Pater Damian Sekundarschule