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Letztes Update: 15.12.2022

Software Engineer

Firma: Algonaut GmbH
Abschluss: M.Sc. Computer Science
Stunden-/Tagessatz: anzeigen
Sprachkenntnisse: deutsch (Muttersprache) | englisch (verhandlungssicher) | spanisch (verhandlungssicher)

Skills

Architecting Software Systems of Tomorrow.

Projekthistorie

03/2021 - bis jetzt
Co-Founder & CTO
Algonaut GmbH (Internet und Informationstechnologie, < 10 Mitarbeiter)

• Software Engineering
• Data Engineering
• Agile Team and Coding Processes
• Cloud & IT-Infrastructure
• Technical Communication with Customers

Technical Stack:
∗ Python for Data Science (Pytorch, Numpy, Pandas, Webscraping, ...)
∗ Python for APIs (Flask & Django)
∗ Javascript (ReactJS with Typescript)
∗ GraphQL
∗ AWS (Becoming Certified Solution Architect)
∗ Docker
∗ DVC
∗ Gitlab CI

11/2020 - 02/2022
User Centered Software Design
Human-Centered-Computing Group (Internet und Informationstechnologie, 10-50 Mitarbeiter)

Software and User Interface Design with User-Centered Design Methods. Implementation of User Centered Software Design Processes, closely integrated into HCI (Human-Computer-Interaction) Research. Full Stack Engineering.

Technical Stack:
∗ Python for Backend APIs (Flask & Django)
∗ Python for Data Tasks (Webscraping, Numpy, Pandas, ...)
∗ Javascript (ReactJS with Typescript)
∗ GraphQL (For Database and Frontend Connection)
∗ Docker

08/2019 - 11/2021
Machine Learning Engineer
Limebit GmbH (Internet und Informationstechnologie, 10-50 Mitarbeiter)

Full Stack Development of a custom Analytics platform for a customer, including implementation of Machine Learning Models in the Backend.

• ML Backend development
• Frontend development
• AWS Deployment

Technical Stack:
∗ Python (Pytorch, Numpy, Pandas, Webscraping, ...)
∗ Javascript (ReactJS with Typescript, ExpressJS for APIs, Apollo, ...)
∗ GraphQL (For Database and Frontend connection)
∗ AWS (S3, EC2, Lambda, RDS)
∗ Docker

01/2019 - 12/2019
Research Associate
IMBI (Institute of Medical Biometry and Statistics) (Internet und Informationstechnologie, 10-50 Mitarbeiter)

Measuring Methods for bench-marking neural network performance in high-dimensional sequenced gen-data settings

Technical Stack:
∗ Python for Deep Learning Models (Tensorflow, PyTorch, Pandas, Numpy, ...)

10/2015 - 12/2018
Research Assistant
(Öffentlicher Dienst, 10-50 Mitarbeiter)

• Data related tasks: Web Scraping, Data cleaning/handling
• IT support: Website, IT-infrastructure etc.

Technical Stack:
∗ Python for Data tasks (Pandas, Numpy, ...) and Webscraping (BeautifulSoup, Selenium)
∗ HTML, CSS, Javascript for Website support
∗ Bash for Server related tasks

Reisebereitschaft

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