The product family offers a full range of Air Traffic Management software modules.
The modules are designed to support the most varied use-case scenarios, ranging from standalone solutions to integrated surveillance and flight plan data processing systems.
Within the customer SCRUM teams, I participate in the development and testing of the software modules of the flight data processing system.
Contributions:
· Writing System and Software Requirements from customer requirements.
· Supporting the Product Owner in defining the SCRUM Stories and planning Sprints.
· Defining test cases for system requirements.
· Developing software modules and services for the flight data processing system.
· Developing automated tests for the software modules.
The project focus on the complete development of an embedded demonstrator for the condition monitoring of high precision gears.
The project aims for a small footprint embedded hardware solution applied to existing gears for mechatronics applications. Through the continuous sampling and processing of a multimodal set of sensors, such as vibration, temperature and motion, the customer is able to monitor the condition and expected service life of the high precision gears.
Contributions:
- Requirement definition for the system and the software, with the customer.
- Design of the system, with the customer.
- Architect the software for the embedded target.
- Plan and manage the software development and system testing.
The project developed and certified with a network controlled I/O modules for the usage in defense applications, with a Safety Integrity Level 3.
Contributions:
- Supported the customer in improving Functional Safety Management.
- With the customer, defined requirements for system and software.
- With the customer, designed the software architecture.
- Developed multiple software modules following IEC EN 61508.
- Supported the customer in establishing automated software test pipelines.
Worked on multiple projects related with Industry 4.0. From establishing IOT sensor acquisition and processing pipelines on-premises and cloud, to the analysis and development of models for monitoring, classification and prediction of process conditions.
Contribution:
- Analyzed sensor data and process data for customers in a varied range of industries. Such desalination plants, wine bottling, soap manufacturing, pharmaceutics production.
- Developed data driven models to extract valuable insights to the customer processes.
- Employed machine learning techniques, including supervised and unsupervised learning, clustering, time-series forecasting, and nonlinear optimization.
- Utilized Databricks, Apache Spark and Azure Cloud Services for scalable data analysis and Jupyter notebooks for prototyping.
- Developed predictive models using autoencoders, support vector machines, random forests, PCA, and other advanced machine learning algorithms.
Within this project we have developed a marketplace website hosted on AWS.
Developed for the customer, together with a company specializing in the fronted and UI/UX, we architected and implemented the backend system.
We designed a scalable cloud backend and implemented RESTful interfaces, along with backend microservices to support a robust online marketplace.
Employed Java and the Spring framework to create a resilient and efficient backend architecture, leveraging PostgreSQL for data storage.
Contribution:
- Designed cloud backend architecture for a marketplace website using AWS services.
- Developed backend microservices and defined RESTful APIs.
- Utilized Java and Spring framework to build efficient, maintainable backend services.
- Worked closely with frontend partner to ensure consistent integration and functionality.
- Collaborated with stakeholders for requirement engineering, aligning technical development with business goals.
- Provided onboarding and ongoing support to junior team members, fostering a productive and knowledgeable team environment.
R&D Team Lead
The product family offers a full range of Air Traffic Management software modules.
The modules are designed to support the most varied use-case scenarios, ranging from standalone solutions to integrated surveillance and flight plan data processing systems.
Within the customer SCRUM teams, I participate in the development and testing of the software modules of the flight data processing system.
Contributions:
· Writing System and Software Requirements from customer requirements.
· Supporting the Product Owner in defining the SCRUM Stories and planning Sprints.
· Defining test cases for system requirements.
· Developing software modules and services for the flight data processing system.
· Developing automated tests for the software modules.
The project focus on the complete development of an embedded demonstrator for the condition monitoring of high precision gears.
The project aims for a small footprint embedded hardware solution applied to existing gears for mechatronics applications. Through the continuous sampling and processing of a multimodal set of sensors, such as vibration, temperature and motion, the customer is able to monitor the condition and expected service life of the high precision gears.
Contributions:
- Requirement definition for the system and the software, with the customer.
- Design of the system, with the customer.
- Architect the software for the embedded target.
- Plan and manage the software development and system testing.
The project developed and certified with a network controlled I/O modules for the usage in defense applications, with a Safety Integrity Level 3.
Contributions:
- Supported the customer in improving Functional Safety Management.
- With the customer, defined requirements for system and software.
- With the customer, designed the software architecture.
- Developed multiple software modules following IEC EN 61508.
- Supported the customer in establishing automated software test pipelines.
Worked on multiple projects related with Industry 4.0. From establishing IOT sensor acquisition and processing pipelines on-premises and cloud, to the analysis and development of models for monitoring, classification and prediction of process conditions.
Contribution:
- Analyzed sensor data and process data for customers in a varied range of industries. Such desalination plants, wine bottling, soap manufacturing, pharmaceutics production.
- Developed data driven models to extract valuable insights to the customer processes.
- Employed machine learning techniques, including supervised and unsupervised learning, clustering, time-series forecasting, and nonlinear optimization.
- Utilized Databricks, Apache Spark and Azure Cloud Services for scalable data analysis and Jupyter notebooks for prototyping.
- Developed predictive models using autoencoders, support vector machines, random forests, PCA, and other advanced machine learning algorithms.
Within this project we have developed a marketplace website hosted on AWS.
Developed for the customer, together with a company specializing in the fronted and UI/UX, we architected and implemented the backend system.
We designed a scalable cloud backend and implemented RESTful interfaces, along with backend microservices to support a robust online marketplace.
Employed Java and the Spring framework to create a resilient and efficient backend architecture, leveraging PostgreSQL for data storage.
Contribution:
- Designed cloud backend architecture for a marketplace website using AWS services.
- Developed backend microservices and defined RESTful APIs.
- Utilized Java and Spring framework to build efficient, maintainable backend services.
- Worked closely with frontend partner to ensure consistent integration and functionality.
- Collaborated with stakeholders for requirement engineering, aligning technical development with business goals.
- Provided onboarding and ongoing support to junior team members, fostering a productive and knowledgeable team environment.
R&D Team Lead