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Achievement: YOLOAchievement: Pull Sharkx2

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philipfleischer/README.md

Philip Elias Fleischer

Informatics student (Programming & System Architecture) at the University of Oslo, with a strong focus on systems programming, networking, and backend/full-stack development.

I enjoy building software close to the system and network layers, with an emphasis on correctness, robustness, and clear design.

Interests

  • Systems programming
  • Computer networking
  • Operating systems
  • System and network security
  • Backend and full-stack development

Featured Projects

  • GeoScore - Android Application with Kotlin Repository

  • Networking-Programming –
    A curated collection of small Python projects demonstrating TCP/IP sockets, application-layer protocols (HTTP, SMTP, FTP, IMAP), encryption, and concurrency
    Repository

Featured Coursework

  • Minimal IP Stack –
    Implemented a custom IP stack with routing in Mininet, including packet forwarding and routing logic
    Repository

  • Object-Oriented Programming –
    Collection of four OOP projects for natural sciences, focusing on structure, abstraction, and reusability
    Repository

  • Weather Map Application (VAFF) –
    Android application in Kotlin using the Norwegian Meteorological Institute’s weather API
    Repository

Links

Currently seeking opportunities related to backend, systems, or networking development.

Pinned Loading

  1. GeoScore GeoScore Public

    Repo for geo score app done during IN2000 course Spring 2026

    Kotlin

  2. Networks Networks Public

    Minimal IP Stack, IP daemon + Routing Daemon

    C

  3. Network-Programming Network-Programming Public

    Collection of Python networking projects demonstrating TCP/IP sockets, application-layer protocols (HTTP, SMTP, FTP, IMAP), encryption, concurrency, and REST APIs.

    Python

  4. Weather-Map-Application Weather-Map-Application Public

    This is a group project made in the course IN2000 Software Engineering. We got nominated as one of the ten best projects of our year

    Kotlin

  5. ML-AI ML-AI Public

    Introduction course to Machine Learning and Artificial Intelligence at UIO, Course code: IN1160.

    Jupyter Notebook

  6. Object-oriented-Programming Object-oriented-Programming Public

    Object Oriented Programming for Natural Sciences, features 4 projects

    TeX