Mohammad Azeem Khan

• Leveraging my deep learning expertise, I developed a highly accurate model (85% precision) to detect and analyze solar panels in the Salzburg region.
• This extracted valuable data on 7,156 km2, revealing insights into their distribution and density. My analysis identified areas with high potential for increased energy generation (estimated 20% increase), guiding informed decision-making
• Furthermore, I'm actively developing a publicly accessible web map using JavaScript, HTML, CSS & React,js to visualize this data, empowering stakeholders with critical information for future solar energy investments.

• Developed deep learning pipeline with more than 80% accuracy to extract segments of solar panels along with their bounding box and location for theSalzburg region
• Leveraged the power of Mask R-CNN and the framework was implemented using PyTorch (Scripting language used: Python)
• Key challenges- Data annotation, developing model for big satellite images, bounding box creation, precise location detection
• Tools used: Python, Pytorch, TensorBoard, VS code, QGIS, ArcGIS Pro

Created and edited architectural drawings using AutoCAD to ensure compliance with design specifications and local building codes

Oversaw construction of Residential building and supervised the contracted staff

Associated with the project site head in managing the project and observed the performance of the men involved

Checked design and construction documents for accuracy and made necessary changes