Majid Mohamod

Geological Engineer with 7+ years of experience in geotechnical design, environmental site assessments, remote sensing, and hydrological modeling. Proven track record supporting infrastructure, landfill, and dam projects across the U.S. and Iraq. Skilled in AutoCAD, ArcGIS, SAP2000, and SWAT, with hands-on expertise in foundation investigations, slope stability modeling, and subsurface risk analysis. Adept at integrating remote sensing and field data to drive engineering decisions in oil, construction, and civil sectors.

• Hydrological Modeling Collaboration, Collaborator, U.S. Geological Survey, 01/01/24, Present, Conducting SWAT-based watershed modeling using three input scenarios: Local bathymetric survey data, AI-generated bathymetry, Terrain-only digital elevation models. Supports scalable, comparative methodologies for U.S. water resource management.
• Automated Engineering Data Analysis Pipeline, Designed and deployed a cloud-based pipeline to process geotechnical and environmental datasets. Integrated real-time spatial and environmental data using public APIs into Google Sheets. Used Google Apps Script and statistical formulas for in-sheet automation. Applied TensorFlow models to prioritize engineering parameters for infrastructure design decisions. Executed Python scripts on Google Colab and Kaggle for model training and data analysis., Python, Machine Learning, API Integration, TensorFlow, Google Apps Script, SWAT, Google Colab, Kaggle

• Graduate Teaching Assistant, Missouri University of Science and Technology, 08/01/19, 08/01/20, Taught Introductory Geology with a focus on GIS and geospatial technologies. Designed exams and instructional material.
• Global Disaster Alert and Coordination System (GDACS), 2015
• NASA: Satellite-Derived PM2.5 for SDG Monitoring, 2017
• Senior Engineering Hat, Marino Engineering Associates, 2022
• OSHA 10-Hour Safety Certificate, 2019

• Analysis of Terrestrial Water Storage Anomalies in Iraq Using GRACE Data (2002–2019), Al-Abadi et al., 2024, Kuwait Journal of Science, 51, 4, 100275, https://www.sciencedirect.com/science/article/pii/S2307410824001007?via%3Dihub
• GeoNatShapes: A Natural Feature Reference Dataset for Mapping and AI Training, Arundel et al., 2020, U.S. Geological Survey Data Release, https://doi.org/10.5066/P9X5BN1L
• Development of Tools for Water Management in the Hatra Watershed Using Satellite Technologies, Mohamod, M. S., 2020, Doctoral Dissertation, Missouri S&T, https://scholarsmine.mst.edu/doctoral_dissertations/2936
• Nonpoint Source Pollution Monitoring Study, Missouri S&T, 2015–2016, Assessed nitrate, phosphate, turbidity, and biotic indices in agricultural watersheds. Applied GIS and lab testing to study pollutant impact on stream health.
• Bathymetric Data Integration in U.S. Watershed Modeling, 2024, Ongoing (2024) – Bathymetric Data Integration in U.S. Watershed Modeling (USGS Project)

Geologist-in-Training (GRIT) Designation