R /C

E D I N B U R G H

H E L L O @ R A G N O R . C O

R A G N O R C O M E R F O R D . C O M

+ 4 9 1 5 1 6 5 8 7 2 2 7 8

A B I T U R P R I Z E 2 0 1 6

G E R M A N P H Y S I C A L S O C I E T Y

S C H O L A R S H I P F O R A C A D E M I C E X C E L L E N C E

P R O F E S S O R - R H E I N F O U N D A T I O N

A W A R D F O R T H E B E S T S T U D E N T S

G E R M A N M I N I S T R Y O F E D U C A T I O N

F I R S T P R I Z E

P U B L I C H E A L T H P R O D U C T F O R G E 2 0 1 8

ABITUR PRIZE 2016German Physical Society

ARTIFICIAL INTELLIGENCE (GPA: 4.0) University of Edinburgh

2017-2021

ABITUR (1.0, MAX. SCORE) Gymnasium am Oelberg

2008-2016

A L G O R I T H M S & D A T A S T R U C T U R E S

D A T A B A S E S

M A C H I N E L E A R N I N G

N A T U R A L L A N G U A G E P R O C E S S I N G

C L O U D C O M P U T I N G

D E V E L O P E R O P E R A T I O N S

B I O I N F O R M A T I C S

Persistent problem-solver with an unquenchable thirst for knowledge.

Swiss Federal Institute of Technology, Lausanne

● Selected for the prestigious Summer@EPFL program (2% acceptance rate)● Worked with two professors and a PhD student on the analysis of high-dimensional

political data (PCA, t-SNE) and machine learning techniques (Neural Networks, Gaussian Mixture Models) to predict vote results in Switzerland.

More on ra gnor.co/predikon.

R /C

Hyped is the University of Edinburgh’s team dedicated to implementing and accelerating the development of Hyperloop technology. Hyped took part in the SpaceX Hyperloop Competition and became one of the top six teams among thousands. Over the course of the year, I

• managed the team responsible for the state machine which was critical in ensuringthe pod’s safe and functional processing behaviour.

• solved challenging, time-sensitive problems involving a variety of software andhardware concepts.

• implemented an agile development strategy with a comprehensive Gitflow workflow.

More on ra gnor.co/hyped.

Founded an online platform where customers could order personalised print magazines with their editorial content of choice. Acquired 2017 by a publishing company. The technical implementation of the platform involved

• developing a custom e-commerce system using NodeJS, PHP, GraphQL, SQL, HTMLand CSS.

• setting up an appropriate cloud infrastructure using Google Compute Engines and Cloud Functions.

• implementing a continuous integration and deployment strategy.

Joined the award-winning startup Nect for a 3-months internship focusing on building a universal digital identity. My main responsibility was the development the React Native mobile app.

Big Data R esearch Lab (CogBid)

Applying Cognitive deep learning algorithms to neuroimaging data to predict the development of Alzheimer's Disease. cogbid.github.io

R /C

Developed an autonomous driving algorithm using LIDAR technology as part of my 1-month internship at the renowned Fraunhofer-Institute in Watchberg, Germany. My software was implemented using C++ and the Robot Operating System (ROS).

L A N G U A G E S

P O L I C I E S & G L O B A L I S S U E S

P H I L O S O P H Y

M U S I C

S P O R T S

D E S I G N

T R A V E L L I N G

J A V A S C R I P T & N O D E J S

P Y T H O N

H A S K E L L

J A V A

P H P

C + +

S Q L , N o S Q L , G R A P H Q L

G I T

D O C K E R

Built a rea l-time predictive data analytics tool for doctors that leverages local climate, geographic and epidemic data toget her with individual patient data to help doctors recognize risks at an early stage and make better-informed treatment decisions. Won the first prize at the Public Health Product Forge 2018 together with my team.

Built a ful l-scale social media app using React Native that makes it possible to collaboratively create content-rich memories and stories and share them by granularly defining permission and privacy settings. The technical implementation includes authentication, real-time updates over a Websocket, push notifications, a GraphQL backend with a sophisticated permission system, microservices, a Spotify API integration, video rendering, and real-time i mage processing and CDN. The reposi tory can be found on ragnor.co/memories.

ENGLISH

FRENCH

GERMAN

SPANISH

ITALIAN

DUTCH

ARABIC