• Developed C# API for generating building design for automation, manufacturing and fabrication.• Led the implementation of automated testing infrastructure. Wrote unit and integration tests.• Led refactoring and documentation of legacy codebase. Applied design patterns. Deleted more than 200k lines of code.• Created a real time web front-end using Vue.js to visualize construction cost data.• Supported the implementation and integration of the API with relational databases.• Automated software documentation workflows using DocFX and GitHub Actions.• Automated Lidar/GIS data extraction with Python to construct scenarios for architectural visualization.

• Developed algorithms to generate and assess future urban planning scenarios. • Applied data science and AI methods for tackling spatial problems. Generated scenarios using algorithms and assessed indicators of mobility, livability and energy with Python and QGIS. • Designed and configured GeoDatabases to store relational urban design datasets.• Developed and deployed dashboards to visualize urban growth scenarios (Plotly Dash and AWS). • Developed machine learning models to predict transportation behaviour and rent price based on spatial indicators using Python (GeoPandas and Scikit-Learn). • Developed a deep learning model to generate building footprints basedon parcel shape and zoning using TensorFlow.• Assessed sustainability indicators of urban form using Grasshopper and GIS.• Assisted in the implementation of a Gaussian Mixture classification model for clustering urban neighborhoods based on urban form data sets. • Extracted building height information from LiDAR data to train neural network models. • Applied spatial models to 17 urban growth scenarios of 4 neighbourhoods across British Columbia.• Designed, developed and deployed a web application to quickly generate and analyze urban densification scenarios using Python. • Assisted in the creation of 3 policy reports in collaboration with the Cities of Vancouver, Prince George and Victoria.

Digital Media | Green Network Planning | Professional Practice• Lectured about GIS analysis and Urban Planning. • Created 15 video tutorials on QGIS.• Designed course webpages. • Provided feedback and evaluated parametric design definitions (Grasshopper). • Automated attendance grading for online lectures using python and the Zoom API.

• Led the design of the Ribeira’s Eyes Masterplan for the re-development of a historic district in Natal, Brazil as a result of winning the UrbanLab competition in 2017. • Developed a long-term occupation plan, urban design policies and financial feasibility studies• Collaborated with city planners and community members• Developed a cellular automata model using Python and Grasshopper to maximize density, sunlight exposure and green spaces.

Assisted in the design and documentation of 28 residential and 17 commercial architectural and interior design projects represented with 3D models built with Revit, SketchUp and AutoCAD.

Designed and developed a website with data about more than 4000 heritage buildings from 21 cities at northeastern countryside of Brazil.