About

Research Assistant
McGill University

Research & Development in Remote Sensing: Conducted research in LiDAR, Photogrammetry, and Earth Observation Data, designing and executing projects that integrate LiDAR and remote sensing datasets for advanced geospatial analysis.
Advanced Tool Development: Developed data analysis and visualization tools using Python and MATLAB to enhance geospatial research and remote sensing applications.
Created data fusion toolkits in Python and MATLAB, enabling seamless integration of LiDAR and complementary datasets for improved analysis.
Technical Documentation & Training: Authored comprehensive user manuals and developed video tutorials to facilitate effective tool adoption.
Provided team training sessions, ensuring efficient usage of geospatial analysis tools.
Data Analysis & Insights: Analyzed complex geospatial datasets, integrating LiDAR with complementary remote sensing data to derive actionable insights and support data-driven decision-making.

Built high-fidelity SE datasets by integrating satellite imagery, digital elevation models, vector/cultural features, and architectural data.
Automated end-to-end geospatial workflows in ArcGIS (ArcMap/ArcGIS Pro) and FME, delivering OGC-compliant (OGC 1.0) content for simulation environments.
Created, edited, and validated geospatial data across shapefiles, rasters, and file/enterprise geodatabases; maintained GIS metadata and versioned repositories.
Packaged and deployed SE content datasets; performed QA/QC to ensure accuracy, completeness, and performance at scale.
Managed GIS databases and schema changes; enforced data standards and lineage tracking.
Applied Agile practices (scrum, user stories, iterative delivery) to rapidly prototype, test, and ship product enhancements.
Partnered cross-functionally to define clear acceptance criteria, design test plans, and continuously improve user experience.
Championed an Agile, change-positive culture; contributed ideas aligned with industry trends and emerging geospatial tech.
Worked autonomously in an R&D setting, adapting quickly to new tools and methods while meeting deadlines and priorities.
Communicated complex geospatial concepts to technical and non-technical stakeholders; prioritized results, planning, and organization.