Paul Weber
Software Engineer for agile development, data science and large-scale systems
Skills
- IP Networking
- DNS
- Firewalls
- Load Balancing
- Microservices
- RESTful APIs
- Java
- Python
- Go
- Typescript
- Javascript
- Spring (MVC / Security / Boot / JPA)
- Templating (Thymeleaf / JSP / Django DTL)
- Hibernate
- Micronaut
- Django
- Angular
- JQuery
- TensorFlow
- Pandas
- NumPy
- PyTorch
- Hadoop
- Spark/PySpark
- Spark ML / mllib
- Object classification and detection
- Deep learning (CNNs)
- Cloud ML (GCP, AWS)
- ML on Edge-/IoT devices
- Android
- Room
- RxJava
- Native (NDK)
- Material Design
- Tableau
- Excel-Dashboards (SQL/VBA)
- Custom Reports
- CI/CD
- git
- Jira
- Confluence
- linux
- windows
- bash
- cmd
- PowerShell
- PostgreSQL
- MongoDB
- MySQL
- DynamoDB
- Microsoft SQL Server
- Kubernetes
- Docker
- AWS
- Google Cloud
- IaaS
- PaaS
- SaaS
- FaaS
- Problem-solving
- Teamwork
- Willingness to learn and adapt
- German
- English
Damage detection with deep learning and edge computing
By applying object detection and classification tasks in real-time to a video feed, I created a pipeline for monitoring e.g. a production process.
Demand-based pricing with machine learning
Using a machine learning approach, I created a system to estimate future demand for e-scooter rides and adjust prices accordingly.
Triage and fix of a DocumentsProvider in the Termux Android app
Triage and fix of Golang compiler toolchain
Talks & Publications
A list of recent articles, presentations or talks.
Hands-On Session - Damage Detection with Deep Learning and Edge Computing
Experience
Lecturer Application Systems Design
Teaching of the Application Systems Design course.
- Foundations of Software Engineering
- Software Design (UML)
- Design Patterns
- Design of relational Persistence (SQL)
Lecturer IT Architecture
Development and teaching of the IT architecture course.
- Architecture of software, systems, infrastructure and communication
- Security architecture
- Architecture for machine learning and large-scale processing (big data)
Working Student (Master Thesis)
Evaluation of large-scale real-time digital forensic systems.
- Requirements Analysis
- Evaluation and Verification
- Deployment and Integration
- Business Process Analysis
Software Developer (Fullstack)
Implementation of mobile applicatons and server backends.
- Design and Implementation of user interfaces with Angular
- Implementation of app servers with Spring MVC, Spring Boot and Hibernate
- Porting of legacy JSP Webapps to Spring Boot
- Development and optimisation of complex SQL-based analytical queries
- Creation of Excel-based reports and Dashboards
Trainee Software Development
Design and implementation of an indoor digital signage system.
- Development of a native Android app
- REST API integration
- Offline caching and synchronisation
- Database design and implementation
- Time and calendar services
Student Assistant
Assignment review and grading for the programming course.
Student Assistant
Assignment review and grading for the programming course.
Internship IT Operations
- Implementation of IT processes and knowledge management.
- Disaster recovery and long-term archive
Education
Ludwigshafen University
Data Science and Consulting