3D Geospatial Designer at Hugo Technologies (2025-01 – Present)
- Develop accurate 3D roof and site models for US residential and EU solar projects using Aurora Solar, Nearmap imagery, and LiDAR datasets.
- Reconstruct roof geometries and model roof-mounted obstructions to support efficient PV system design.
- Incorporate surrounding vegetation and adjacent structures to produce realistic shading environments for solar access and energy production analysis.
- Conduct remote geospatial site assessments to ensure digital models accurately represent existing site conditions.
- Apply spatial analysis techniques to improve model accuracy and support downstream engineering, design, and permitting workflows.
- Collaborate with multidisciplinary solar design teams to deliver high-quality geospatial models while maintaining strict quality and turn around standards.
Project Lead / Digital Operations at B+TIC (2024-01 – Present)
- Led complex project workflows in highly dynamic environments, coordinating multiple stakeholders and adapting quickly to shifting requirements.
- Built digital processes that improved clarity, communication, and productivity across teams.
- Used analytics to anticipate risks, manage timelines, and support weekly deliverables.
- Standardized documentation and communication frameworks that improved transparency and team alignment.
- Applied a user-centric approach to problem-solving, ensuring solutions remained simple, scalable, and clear.
BIM Specialist & Design Architect at NC Architects (2022-11 – 2024-01)
- Implemented Scan-to-BIM workflows using point cloud and reality capture data.
- Developed coordinated BIM models supporting renovation and adaptive reuse projects.
- Produced accurate architectural documentation and digital models for multidisciplinary project teams.
- Applied spatial analysis and digital construction techniques to improve design coordination and project delivery.
Data Quality Analyst / Data Annotator at Hugo Technologies & Mindrift AI
- Reviewed and validated structured datasets for AI/ML systems.
- Ensured data accuracy, labeling consistency, and quality control in large datasets.
- This experience supports work in ML-ready dataset preparation and validation for 3D reconstruction tasks.
