Curriculum Vitae

Christian H.X. Ali Mehmeti-Göpel's CV

Summary

I am a data scientist with a strong mathematical background. My strength is being able fully utilize all available tools in mathematics and computer science in order to model structured data. I spent the last five years scratching the edge of deep learning research and have an in-depth understanding of all deep learning methods.

Objective

I am looking to apply my deep learning and mathematical modeling skills to one or multiple insteresting projets. I am interested in research as well as research applications in everything related to machine learning. I believe that thanks to my research background I am able to quickly apply machine learning or deep learning methods to any domain or problem.

Skills Focus and Technical Expertise

Programming Languages

Python Java C++ SQL R Matlab

Natural Languages (F=Fluent, B=Basic)

German (F) French (F) Italian (F) English (F) Spanish (F) Catalan (B)

Deep Learning

PyTorch TensorFlow Visdom Tensorboard

Markup

Markdown LaTex

Versioning

Git Subversion

OS

Linux

Professional Experience

Sofatutor

2014 to 2018

Online

Mathematics Tutor

Tutoring in Mathematics ranging from school to university level.

Johannes-Gutenberg University

2017 to 2019

Mainz

Computer Science Tutor

Tutoring courses including automata theory, complexity theory, data structures and efficient algorithms

Johannes-Gutenberg University

2017 to 2019

Mainz

Teacher's Assistent

Conception and teaching of courses including introduction to programming, introduction to software engeneering, modelling of dynamical systems, advanced computer graphics and rendering

Higher Education

Johannes-Gutenberg University

Bachelor of Science in Mathematics (minor Philosophy), 2016

Universitat de Barcelona

Erasmus+ Study Programme, 2014-2015

Johannes-Gutenberg University

Master of Science in Computer Science (minor Mathematics), 2019

Università degli Studi di Firenze

Erasmus+ Study Programme, 2017-2018

Johannes-Gutenberg University

PhD in Computer Science (Deep Learning), Ongoing

Publication Record

Ringing ReLUs

This paper analysis the loss surface of deep neural networks and how architecture choices influence it.