Senior Software Developer
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- 12163 Berlin
- auf Anfrage
- de | en
- 20.09.2024
Kurzvorstellung
Qualifikationen
Projekt‐ & Berufserfahrung
10/2022 – 5/2024
TätigkeitsbeschreibungArchitecture, Software Engineering and ML Engineering for production grade Machine Learning models to be deployed in-vehicle. Post-training quantization, development of model and data interfaces, MLOps/DevOps for large-scale trainings, evaluations and experiments on the Azure cloud. Integration within larger group to develop an Active Learning Pipeline. Quality assurance using automated tools and pipelines as well as code reviews.
Eingesetzte QualifikationenDocker, Git, Microsoft Azure, Pandas, Pytorch, Torch
1/2022 – 12/2022
TätigkeitsbeschreibungImplemented a processing pipeline to extract structured text from PDF files. Additional integration of an 3rd-party API (Workday) via browser automation.
Eingesetzte QualifikationenPostgresql, SQL, Docker, ETL, Python, SOAP, Test Automation
5/2020 – 4/2022
TätigkeitsbeschreibungContracting for a small company to design and implement a software to operate a high-speed scanning/sorting machine. I built a reactive web-based user interface with vue.js, served by an asynchronous Python server. Low-level hardware control parts written in C. We were able to test all system conditions without physical hardware (custom emulator).
Eingesetzte QualifikationenSQL, C++, Git, JavaScript, Python, Responsive Webdesign, Vue.Js, Wine (WINE Is Not an Emulator)
6/2017 – 12/2021
Tätigkeitsbeschreibung
I was brought in to rebuild parts of a complex billing system which needed urgent adaptation to match new legal requirements. Completed the initial project in just 7 weeks (on time) and with extensive test coverage. Additional changes in the following years to reflect changes in the legal
code. The system creates invoices totalling well over 100 million euros per year.
Edifact, Python, SQL, Test Automation
Ausbildung
Berlin
Über mich
Full-Stack Development: Python, Web applications, API servers, ReST, API design, frontend
Machine Learning: MLOps, Neural Networks/AI
DevOps: Linux, Azure, AWS (multi-cloud), Docker/containers, Systems Engineering, Linux
Data Engineering: ETL, Data Pipelines, Jupyter Notebooks, Scalability
Cross-Cutting Concerns: Automated Testing and Reliability (CI/CD, Infrastructure as Code, Test Driven Development), Scrum/Agile Development (iterative and incremental development, Kanban, Lean Management), Open Source
Persönliche Daten
- Deutsch (Muttersprache)
- Englisch (Fließend)
- Europäische Union
- Schweiz
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