For a startup in the building services industry, I designed and implemented a robust and cloud-native Minimum Viable Product (MVP) on Google Cloud, following a microservice architecture approach and best practices for CI / CD. The product offers a REST API built with FastAPI and hence is following the OpenAPI standard.
Design and development of cloud-native data solutions for telecom and TV industry clients using Google Cloud Platform
Extract, combine, transform and store data from consumer devices and telecom network infrastructure
Design of data models and architectures for the integration of data from multiple sources into the data warehouse
Maintain, improve and extend high-performant real-time ETL/ELT pipelines with integrated anomaly detection and alerting
Large-scale data analysis and creation of interactive, fully automated dashboards for data-driven decision making
Team lead on the design and development of a cloud-native analytics SaaS platform as the company's product offering
Project lead for OSS replacement at a telecom client using Microsoft Azure
Conduct pilots and R&D to gain expertise and stay current with the latest updates on GCP's analytics and ML offerings
Design and integration of enterprise content management (ECM) solutions
Specification & implementation of change requests
On-site mandate as an application manager
Requirements analysis, product comparison, and third level support
Product & release management
Design and integration of enterprise content management (ECM) solutions adapted to the customer?s requirements and collaboration across the entire development lifecycle starting with requirements engineering up to implementation.
2013 - 2016
UZH, Zurich
Computer Science, Information Systems
Master of Science
Focus:
Final grade: 5.3
Master thesis gladly on request
Master thesis grade: 6
2009 - 2013
UZH, Zurich
Business Administration
Bachelor of Arts in Business Sciences
Focus:
Final grade: 4.7
Bachelor thesis gladly on request
Bachelor thesis grade: 5.25
CERTIFICATES
2022 - 2022
Professional Machine Learning Engineer / Google
2021 - 2021
Data Engineering with Google Cloud Specialization / Coursera (Google)
2020 - 2020
Machine Learning / Coursera (Stanford University)
ADVANCED STUDIES
2019 - 2020
Lucerne University of Applied Sciences and Arts
CAS in Artificial Intelligence
Final grade: 6.0
I am a freelance cloud expert who loves building cloud-native applications with a focus on data platforms and insights. I have a passion for automating business processes and building scalable data pipelines to increase productivity and support decision making. I am also very excited about simplifying our daily lives with AI and making a difference with sustainable applications.
I am happy to discuss the technical challenges in your company or simply chat about current trends and advancements in the field. Send me a message!
For a startup in the building services industry, I designed and implemented a robust and cloud-native Minimum Viable Product (MVP) on Google Cloud, following a microservice architecture approach and best practices for CI / CD. The product offers a REST API built with FastAPI and hence is following the OpenAPI standard.
Design and development of cloud-native data solutions for telecom and TV industry clients using Google Cloud Platform
Extract, combine, transform and store data from consumer devices and telecom network infrastructure
Design of data models and architectures for the integration of data from multiple sources into the data warehouse
Maintain, improve and extend high-performant real-time ETL/ELT pipelines with integrated anomaly detection and alerting
Large-scale data analysis and creation of interactive, fully automated dashboards for data-driven decision making
Team lead on the design and development of a cloud-native analytics SaaS platform as the company's product offering
Project lead for OSS replacement at a telecom client using Microsoft Azure
Conduct pilots and R&D to gain expertise and stay current with the latest updates on GCP's analytics and ML offerings
Design and integration of enterprise content management (ECM) solutions
Specification & implementation of change requests
On-site mandate as an application manager
Requirements analysis, product comparison, and third level support
Product & release management
Design and integration of enterprise content management (ECM) solutions adapted to the customer?s requirements and collaboration across the entire development lifecycle starting with requirements engineering up to implementation.
2013 - 2016
UZH, Zurich
Computer Science, Information Systems
Master of Science
Focus:
Final grade: 5.3
Master thesis gladly on request
Master thesis grade: 6
2009 - 2013
UZH, Zurich
Business Administration
Bachelor of Arts in Business Sciences
Focus:
Final grade: 4.7
Bachelor thesis gladly on request
Bachelor thesis grade: 5.25
CERTIFICATES
2022 - 2022
Professional Machine Learning Engineer / Google
2021 - 2021
Data Engineering with Google Cloud Specialization / Coursera (Google)
2020 - 2020
Machine Learning / Coursera (Stanford University)
ADVANCED STUDIES
2019 - 2020
Lucerne University of Applied Sciences and Arts
CAS in Artificial Intelligence
Final grade: 6.0
I am a freelance cloud expert who loves building cloud-native applications with a focus on data platforms and insights. I have a passion for automating business processes and building scalable data pipelines to increase productivity and support decision making. I am also very excited about simplifying our daily lives with AI and making a difference with sustainable applications.
I am happy to discuss the technical challenges in your company or simply chat about current trends and advancements in the field. Send me a message!