- Currently working as a software developer and project manager in different projects- Improving experience with programming languages like Python (and many of its libraries, such as (Geo)Pandas, Numpy, Shapely, Celery, Kedro and more) and Javascript- Experience with Docker, SQL databases (MySQL and Postgres), Reddis, message streaming services (RabbitMQ), DigitalOcean- Colaboration within the team is done using SCRUM (working with Jira to keep track of project progress)- Git is used for version control (as well as its functionalities, such as CI/CD for testing and automatic deployments)- Working on Ubuntu servers for deployments and management- Colaborating in projects with big aviation stakeholders, including EUROCONTROL and LVNL, the Dutch Air Traffic Control provider- Working as a software developer in the fields of aircraft noise analysis / reduction, aircraft emissions and airspace safety with different clients. AerLabs provides solutions to those clients according to their needs and requests- Working as a project manager and software developer on Echo, a noise calculation tool that is a part of AerLabs' own products

- Research how different environmental KPIs (related to gaseous emissions, noise, amongst others) can be combined into a forecastong tool and integrated in the operational planning of an airport- Develop a prototype of that environmental tool

- Master Thesis concluded in collaboration with Delft University of Technology and BEONTRA GmbH. - Title: "Strategic Stand Planning With Seleciton of New Flights to Optimize Hub Connections"- Focused on transfer passengers- Stand assignment that allows to include new, profitable flights in the hub's original schedule- Developed in Python and combined with Gurobi- Processing and treatment of big sets of data (especially flight schedules and aircraft information) combined with Excel- The main objectives are to maximize the number of captured transfer passengers and minimize the connection times. Other objectives that are optimized include the minimization of unassigned operations and the minimization of tow moves- Model is able to select the best time slot for each new flight that is added to the schedule- To avoid large sized problems usually associated with transfer passengers, full problem is split and solved in two levels

- Improved group work skills, Python skills and gained knowledge related to air route design and optimization. Furthermore, obtained insight on the particular case of the Dutch airspace- Part of the course Air Traffic Management, from the MSc Aerospace Engineering programme. Student teams of 5 to 7 elements participated in the contest- Integrated in the Dutch Airspace Redesign Programme (DARP)- In partnership with Dutch Ministry of Infrastructure and Water Management, Dutch Ministry of Defence, LVNL, EUROCONTROL and Royal Netherlands Air Force- The goal was to develop a new design of the Dutch airspace to efficiently increase airspace capacity while reducing the impact of aviation on the environment- Included 1 hour simulation of air traffic during peak hour to test the developed air space design