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Ahsan Abdullah

Ahsan Abdullah

Final-year Geo-Informatics Engineering student with hands-on experience in GIS, remote sensing, spatial databases, and full-stack web GIS development

Talent
Lahore, PunjabMember since May 24, 2026
LULC ClassificationPythonJavaScriptDjangoReactLeaflet.jsMapboxPostgreSQLPostGISGitRandom ForestSVRXGBoostU-NetMask R-CNNSegFormerSAMPygamePGAdmin
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LULC ClassificationPythonJavaScriptDjangoReact

About

Final-year Geo-Informatics Engineering student with hands-on experience in GIS, remote sensing, spatial databases, and full-stack web GIS development. Proficient in Python, PostgreSQL/PostGIS, Django, React, and Google Earth Engine. Demonstrated ability to build end-to-end geospatial applications and contribute to research in glacial hazard monitoring and land cover analysis.

Experience

Research Assistant – Glacial Lake Outburst Flood (GLOF) Monitoring at NUST, Islamabad, Pakistan (2025 – Present)

Collaboration with Faculty Member

  • Contributed to a research project focused on Glacial Lake Outburst Floods (GLOFs), supporting analysis of high-resolution satellite imagery for hazard monitoring
  • Worked on frontend and backend integration of NDVI, NDWI, and NDBI spectral indices with PostgreSQL/PostGIS spatial database
  • Technologies: Django, React, PostgreSQL, PostGIS, Remote Sensing

Research Assistant – Forest Aboveground Biomass Estimation – LiDAR and Machine Learning at NUST, Islamabad, Pakistan (2025-06 – Present)

  • Processed UAV-based LiDAR point cloud data and extracted 28+ structural features for biomass modeling
  • Trained Random Forest, SVR, and XGBoost models for AGB prediction; evaluated using R2, RMSE, and MAE
  • Linked biomass estimates to carbon stock assessment in alignment with REDD+ climate frameworks
  • Built a prototype web-based platform for interactive AGB prediction with real-time LiDAR integration

Research Assistant – Deep Learning-Based Satellite Image Segmentation for Land Information System at NUST, Islamabad, Pakistan (2026-02 – Present)

  • Designing a deep learning pipeline (U-Net, Mask R-CNN, SegFormer, SAM) for automated cadastral boundary extraction from VHR satellite imagery
  • Benchmarking CNN vs. transformer architectures for parcel-level segmentation to support land record modernization

Internship at Forest Department (2025-06 – 2025-09)

  • Contributed to forestry management and conservation initiatives
  • Supported field research and environmental monitoring activities
  • Assisted in data collection and analysis for forest resource assessment

Marketing & Resource Development Intern at Shaukat Khanum Memorial Cancer Hospital & Research Centre (2024 – 2024)

  • Managed online fundraising campaigns for cancer treatment, contributing to donation drives for patients
  • Built and grew the hospital's social media presence across Facebook and Instagram, increasing audience engagement
  • Supported the Marketing and Resource Development Department in digital outreach initiatives

Education

Bachelor of Engineering (BE) in Geo-Informatics Engineering – National University of Sciences and Technology (NUST) (2022 – 2026)

Skills

remote sensingspatial databasesand full-stack web GIS development

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