Hi! 👋🏼
I am Philipp Matthes - computer scientist and self made PhilippCoin billionaire. From December 2021 I will be doing my doctorate as a research assistant at the TU Dresden. During my diploma studies, I was a tutor in the software technology and software project courses for several years. Since 2016 I have been supervising and realizing software projects for customers on a freelance basis. Here are a few projects I've worked on:
Pacebox
iOS App
INLOOP
E-Assessment
jsExam
Enrollment Tool
ordered.online
React Native App
Manni
iOS App
☕️💻.ws
Blog
PeerBridge
Blockchain Messenger
INLOOP Gamified
Gamification
3Dify
iOS App
Benno Netzwerk
Social Network
Watchapp
WatchOS App
Salut
iOS and MacOS App
Vokabular
iOS App
NO2
iOS App
OUTPUT.DD
iOS App
fragenautom.at
E-Learning
Lautstärke
iOS App
Toothpaste
iOS App
MDR Koalitionspoker
Online Game
Neural Greenscreen
Machine Learning
Gitgraph
Data Science
Carnivora
Instagram Bot
victoria-scheer.de
Homepage
Ubiquitous Applications
Do you need someone with the know-how to realize your app idea? Let’s go. I am familiar with everything you need. User-oriented UI/UX-Design and motivation engineering, technical realization of the software, team coordination - I combine multiple disciplines to engineer the product you need. Contact me to get started.
Featured Project
The Peerbridge Blockchain Messenger employs new SwiftUI features such as the new LazyVStack or the new CryptoKit framework. The messenger is an experimental proof-of-concept to demonstrate how a distributed blockchain can be used to create a shared, fully-anonymous and confidential message distribution system.
Machine Learning
Do you want to classify user behavior, suggest products or predict trends? These are just some examples of what’s possible with expertise in the field of artificial intelligence. Do you need ai directly on your smartphone? I am your man.
Featured Project
The 3Dify app uses multi-camera-array disparity computation on photos to generate depth maps and use them for a 3d parallax effect. The app is context-aware such that on devices without multi-camera-arrays, it creates the depth maps by monocular depth interpretation using a neural pipeline and the new CoreML/Vision frameworks. In this way, even users without a device capable of disparity calculation can use the parallax effect.
Featured Project
The 3Dify app uses multi-camera-array disparity computation on photos to generate depth maps and use them for a 3d parallax effect. The app is context-aware such that on devices without multi-camera-arrays, it creates the depth maps by monocular depth interpretation using a neural pipeline and the new CoreML/Vision frameworks. In this way, even users without a device capable of disparity calculation can use the parallax effect.
Adaptivity through CoreML and Vision
On-Device Machine Learning brings new possibilities. For example, the 3Dify app uses an Artificial Intelligence to interpret depth information into photos. This is a very good example for how current AI research can be used in mobile applications to solve a specific use case.
Adaptivity through CoreML and Vision
On-Device Machine Learning brings new possibilities. For example, the 3Dify app uses an Artificial Intelligence to interpret depth information into photos. This is a very good example for how current AI research can be used in mobile applications to solve a specific use case.
Cloud Computing
Engineering ubiquitous systems, like mobile or IOT applications, requires solutions to make development, distribution and data flow more efficient, scalable and robust.
ls cloud-computing-tech
Docker
Microservices
Blockchain and Consensus
Distributed Systems
Edge AI and Federated Learning
Display more results? (y/n)
In a continuously evolving technological environment, not only portability and durability is increasingly important, but also (social) connectedness. The goal of Cloud Computing is to maximize the product value while minimizing development and support expenses.
Fullstack
I never limit myself to a specific technology and always analyze, which technology is the best for a use case and leverage its advantages. This way I am very flexible to new challenges. Plus, its fun to learn new technologies and languages!
Do you have something in mind? I am always interested in new business opportunities or job inquiries. Contact me: contact@philippmatth.es
Research
9. Oktober 2021 » German » Wissenschaftliche Arbeit
Untersuchung der Abhängigkeit zwischen Ressourcenbedarf und Ergebnisqualität für ein auf ein Smartphone portiertes Machine-Learning-Verfahren zur Verkehrsmittelerkennung
Diplomarbeit
Untersuchung der Abhängigkeit zwischen Ressourcenbedarf und Ergebnisqualität für ein auf ein Smartphone portiertes Machine-Learning-Verfahren zur Verkehrsmittelerkennung
Diplomarbeit
8. Juli 2021 » German » Vortrag
OUTPUT.DD: Microservices, DevOps und Containerisierung im Cloud Computing
Projektschau
» Vortragsbeschreibung lesen
OUTPUT.DD: Microservices, DevOps und Containerisierung im Cloud Computing
Projektschau
» Vortragsbeschreibung lesen8. Juli 2021 » German » Vortrag
OUTPUT.DD: Smartphone-Fotos 3D-ifizieren
Projektschau
» Vortragsbeschreibung lesen
OUTPUT.DD: Smartphone-Fotos 3D-ifizieren
Projektschau
» Vortragsbeschreibung lesen8. Juli 2021 » German » Vortrag
OUTPUT.DD: Kryptografie in Messengern
Projektschau
» Vortragsbeschreibung lesen
OUTPUT.DD: Kryptografie in Messengern
Projektschau
» Vortragsbeschreibung lesenFebruary 5 2021 » English » Seminar
Distributed Hash Tables
Distributed Systems
Distributed Hash Tables
Distributed Systems
1. Februar 2021 » German » Dokumentation
Neuaufbau der OUTPUT.DD App im WiSe 2020/21
Komplexpraktikum OUTPUT.DD
Neuaufbau der OUTPUT.DD App im WiSe 2020/21
Komplexpraktikum OUTPUT.DD
30. November 2020 » German » Dokumentation
Erstellung eines Repository-Frameworks für Couchbase zur Migration der OUTPUT.DD iOS App im OUTPUT.DD-Komplexpraktikum
Komplexpraktikum OUTPUT.DD
Erstellung eines Repository-Frameworks für Couchbase zur Migration der OUTPUT.DD iOS App im OUTPUT.DD-Komplexpraktikum
Komplexpraktikum OUTPUT.DD
17. September 2020 » German » Wissenschaftliche Arbeit
Erstellung und Evaluation eines Gamication-Konzeptes zur Verbesserung der Codequalität eingereichter Lösungen in INLOOP
Großer Beleg
Erstellung und Evaluation eines Gamication-Konzeptes zur Verbesserung der Codequalität eingereichter Lösungen in INLOOP
Großer Beleg
7. Juni 2018 » German » Seminar
Veritas - ein Machine Learning-Framework für die Performance-Coverage-Analyse von Proxy-Applications
Proseminar
Veritas - ein Machine Learning-Framework für die Performance-Coverage-Analyse von Proxy-Applications
Proseminar
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Responsible for this website
Philipp Matthes
Clara-Viebig-Straße 9
01159 Dresden
+49 176 42090978
mail@philippmatth.es
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