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Agentic GeoAI Engineer. PhD Remote Sensing Ucalgary
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
University of Calgary
Data Scientist
June 29, 2026 – Present
homayounrezaie.github.io
May 9, 2026 – Present
homayounrezaie.github.io — GitHub repository
View Projectawesome-geoai
May 8, 2026 – Present
A comprehensive reference for the geospatial AI ecosystem: geo foundation models, datasets, companies (producs, services), satellites/sensors, data formats, and the full engineering stack.
View Projectgeointerpo
April 19, 2026 – Present
Open-source Python toolkit for spatial interpolation, gridding, and geospatial surface modeling.
View Projectgeospatial-companies
April 18, 2026 – Present
A curated list of geospatial and location-intelligence companies — mapping, GIS, satellite imagery, and spatial analytics tools.
View ProjectTIR-Review
April 17, 2026 – Present
Satellite thermal sensor inventory supporting "The Past, Present and Future of Thermal Remote Sensing"
View ProjectThermoPy
March 28, 2025 – March 28, 2025
Python for thermal remote sensing and thermography
View ProjectHelloEarth
April 29, 2022 – Present
A curated, developer-first guide to the Earth Observation & geospatial ecosystem — covering learning, data, tools, and real-world applications in one place.
View ProjectCultural Fit Analysis
The candidate's projects demonstrate a strong passion for open-source contributions and community building within the geospatial AI ecosystem, which could indicate a good cultural fit for organizations valuing knowledge sharing and innovation. The diversity of projects, from curated lists to toolkits, shows a broad interest within their niche. However, without more information on team-based projects or work experience, assessing collaboration and adaptability is challenging.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions suggest a self-starter with a strong interest in specific technical areas, but collaboration, communication, and problem-solving approaches are not evident from the provided data.