Open to opportunities

Ryan Powell

@ryanpowell

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PhD GeoAI researcher building GIS-driven spatial intelligence from climate and geographic data.

India

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What I'm looking for

I’m looking for remote part-time GeoAI and spatial data projects—building GIS/MLLM pipelines for climate intelligence and delivering clear technical writing for research and real-world decisions.

I’m a PhD researcher specializing in GeoAI—the intersection of Multimodal Large Language Models (MLLMs) and Geographic Information Systems (GIS). My focus is building intelligent spatial systems that extract insights from geographic and climate data, turning location-aware signals into usable intelligence.

Through my research in “MLLMs × Geographic Information Systems,” I develop GeoAI frameworks for spatial data querying and climate intelligence. I’m also actively publishing, including work featured on IEEE Xplore and a piece on ODSC.

Alongside my PhD, I’ve built practical experience through remote internships in spatial data science and data analysis. I’ve worked with geospatial datasets and AI-driven geographic intelligence, and supported end-to-end pipelines for exploratory data analysis, visualization, machine learning, and technical documentation—while staying open to remote part-time contracts globally.

Experience

Work history, roles, and key accomplishments

Current

PhD Research Scholar

Current

Christ (Deemed to be University)

Jan 2025 - Present (1 year 5 months)

Researching multimodal large language models applied to GIS, and developing GeoAI frameworks for spatial data querying and climate intelligence. Conducts geospatial data science work to support intelligent spatial analysis.

GIS Spatial Data Querying Climate Intelligence Geospatial Data Science Research Geo AI

Geospatial Data Sci Intern

Deepspatial

Jan 2025 - Jun 2025 (5 months)

Completed a remote immersive internship in spatial data science and GeoAI, working with geospatial datasets and spatial analysis pipelines. Contributed to AI-driven geographic intelligence workflows.

GIS Spatial Analysis Datasets Machine Learning Data Pipelines Remote Sensing Data Analytics Geo AI

Data Science Intern

Prodigy InfoTech

Jan 2024 - Feb 2024 (1 month)

Performed data visualization and exploratory data analysis, and built machine learning models using decision tree classifiers. Conducted sentiment analysis as part of the internship projects.

Python Data Visualization Decision Trees Machine Learning Sentiment Analysis Data Cleaning Analytics

Python Intern

Pantech Solutions

May 2022 - Jun 2022 (1 month)

Developed Python programs covering core software topics including data structures and object-oriented programming. Worked on web scraping and file handling tasks for data collection and processing.

Python Data Structures Object Oriented Programming Web Scraping Algorithms Data Processing Programming

Education

Degrees, certifications, and relevant coursework

Christ (Deemed to be University)

Doctor of Philosophy (PhD), Data Science (GeoAI & GIS)

2025 -

PhD research in Multimodal Large Language Models applied to Geographic Information Systems (GIS), building GeoAI frameworks for spatial data querying and climate intelligence.