Biome Classification and Assessment Using Machine Learning
Master Thesis
Developed ML pipelines in Google Earth Engine to classify satellite imagery. Designed data processing workflows handling large-scale geospatial datasets.
I am |
Software Engineer with an MSc from NTNU and 5 years of professional C#/.NET experience.
I'm Ramin Mortazavi, a Software Engineer based in Ålesund, Norway. With a Master's degree in Information Technology (Simulation & Visualization) from NTNU and 5 years of professional experience, my background spans industrial simulation software, machine learning, and interactive 3D visualization.
I combine strong mathematical and scientific computing foundations with practical software engineering to deliver reliable, maintainable applications. My expertise includes C#/.NET, Python, and modern development practices.
Experienced in full development lifecycle management, mentoring developers, and translating complex domain requirements into well-structured code. Currently working as a Technical Consultant, providing maintenance and feature development for production simulation software.
Combining scientific computing with practical software engineering
Production C#/.NET applications with focus on performance, stability, and maintainability. Translating complex domain requirements into well-structured code.
Machine learning pipelines, data visualization, and AI-assisted development. Experience with Python, TensorFlow, and geospatial data processing.
Interactive 3D visualization, digital twins, and real-time simulations using Unity3D, AR/VR, and modern graphics technologies.
Full development lifecycle management in Agile environments, from requirements gathering through deployment, with focus on code quality and maintainability.
Conducting code reviews and mentoring developers on architectural standards, design patterns, and best practices for maintainable software.
Leveraging AI tools to accelerate development workflows and improve code quality, combining traditional engineering with modern tooling.
KMPC (Ålesund/Remote)
NTNU (Ålesund)
KMPC (Iran)
NTNU (Ålesund, Norway)
University of Kerman (Kerman, Iran)
Selected projects showcasing simulation, machine learning, and data-driven applications.
Master Thesis
Developed ML pipelines in Google Earth Engine to classify satellite imagery. Designed data processing workflows handling large-scale geospatial datasets.
Built and deployed a web-based dashboard for processing, visualizing, and predicting time-series data.
A digital twin of Ålesund developed for planning the location of new infrastructure in the city, assessing walkability, energy, accessibility, and visibility.
Have a project in mind or just want to say hello? I'd love to hear from you.
Based in Norway • Open to new opportunities
Master Thesis
Developed ML pipelines in Google Earth Engine to classify satellite imagery. Designed data processing workflows handling large-scale geospatial datasets.
Built and deployed a web-based dashboard for processing, visualizing, and predicting time-series data.
A digital twin of Ålesund developed for planning the location of new infrastructure in the city. Parameters including walkability, energy consumption, accessibility, and visibility are assessed, with a total weighted score calculated based on user preferences.
A case study for building a new hospital was conducted using the tool, selecting the best location based on desired criteria.