CV

Education

• M.Sc. in Remote Sensing and GIS Applications, Aligarh Muslim University, 2021-2023
  • CGPA: 7.4/10
• Bachelor of Computer Applications, Dr. Bhim Rao Ambedkar University, 2018-2021
  • Percentage: 69%

Professional Experience

• April 2026-Present: Junior Research Fellow, National Institute of Hydrology, Roorkee
  • Contributing to the consultancy project “Hydrological and Hydrogeological Study, Punjab.”
  • Working on irrigation assessment, groundwater dynamics, watershed characterization, spatial analysis, and remote sensing/GIS-based water availability studies.
  • Developing Python workflows for spatial interpolation, Sen’s slope trend analysis, and hydrological data analysis.
• February 2025-March 2026: Resource Person, National Institute of Hydrology, Roorkee
  • Led development of ResSed, a deep learning-based GUI platform for time-series stochastic component forecasting.
  • Implemented Monte Carlo-based uncertainty quantification for hydrological prediction workflows.
  • Developed workshop training material and delivered technical sessions on machine learning, regionalization, Random Forest, and LSTM models.
• August 2023-October 2024: Software Developer / Data Systems Engineer, Skitbit Pvt. Ltd., Gurgaon
  • Built Python-based data processing pipelines for transforming unstructured technical logs into structured datasets.
  • Developed REST APIs for internal applications and downstream machine learning systems.
  • Worked with Git-based workflows, CI/CD practices, data validation, testing, and basic NLP classification for data quality.

Awards and Achievements

• All India Rank 92, GATE 2023 in Geomatics Engineering.
• Invited speaker at a National Workshop on Machine Learning / Water Resources, National Institute of Hydrology, Roorkee.

Research Interests

• Climate extremes analysis, drought monitoring and modeling, and hydro-climatic risk assessment.
• Development and evaluation of drought indices, including SPI, SPEI, and PDSI.
• Climate regionalization using statistical and machine learning approaches.
• Non-stationarity in hydrological systems and climate change impacts on regional water resources.
• Machine learning for remote sensing, earth observation, and water resources applications.

Technical Skills

• Programming and scientific computing: Python, NumPy, pandas, matplotlib, Dask, R, SQL.
• Geospatial data science: Google Earth Engine, QGIS, ArcGIS, GeoPandas, xarray, STAC/ODC, cloud-native geoprocessing.
• AI/ML and modeling: PyTorch, TensorFlow, scikit-learn, LSTMs, CNNs, hybrid models, SHAP, LIME.
• Hydrological modeling: SWAT, HEC-HMS, HEC-RAS.
• Workflow engineering: Git, Docker, reproducible research workflows, REST APIs, CI/CD.

Certifications and Workshops

• Crop Mapping using Synthetic Aperture Radar and Optical Remote Sensing, NASA ARSET.
• Disaster Assessment using Synthetic Aperture Radar, NASA ARSET.
• Going Places with Spatial Analysis, Esri.

Publications

Geophysical Delineation of Saline and Fresh Water Interfaces in Alluvial Aquifers

Sunil Kumar, Amandeep Kaur, Gopal Krishan, and Zuhail Abdullah. "Geophysical Delineation of Saline and Fresh Water Interfaces in Alluvial Aquifers: A Case Study from Jalalabad Block, Fazilka District, Punjab, India." CRC Press book chapter.

Benchmarking Machine Learning Models for Non-Stationary Hydro-Climatic Extremes

Zuhail Abdullah. "Benchmarking Machine Learning Models for Non-Stationary Hydro-Climatic Extremes: Toward Hybrid and Generalizable Frameworks." Working paper.

AI-Powered Inversion and Big Data Scenario Analysis for River Management

Zuhail Abdullah. (2024). "AI-Powered Inversion and Big Data Scenario Analysis for River Management." International Conference on Sustainable Urban Water Management in Fast Growing Cities, BITS Pilani.

Machine Learning-based LSTM Model for Drought Prediction in Bikaner, Rajasthan

Zuhail Abdullah. (2024). "Machine Learning-based LSTM Model for Drought Prediction in Bikaner, Rajasthan." National Conference on Population Dynamics, Development and Environment: Problems & Prospects, Department of Geography, Aligarh Muslim University, Aligarh, India.

Talks

Stochastic Hydrology

April 01, 2026

Invited lecture at National Workshop on Machine Learning / Water Resources, National Institute of Hydrology, Roorkee, India

Regionalization Methods for Hydrology of Ungauged Basins

March 01, 2025

Workshop training at National Workshop on Hydrology of Ungauged Basins, National Institute of Hydrology, Roorkee, India

Recent Advancements in ML: Random Forest and LSTM

February 01, 2025

Technical talk at National Workshop on Machine Learning / Water Resources, National Institute of Hydrology, Roorkee, India

Mentoring and Training

Job Readiness Mentorship

Training and Placement Team Coordinator

Geospatial Tools for Water Resources and Natural Hazards Monitoring

Service and Leadership

• Mentor, Team Everest Job Readiness Mentorship Program, 2025-present.
• Team Coordinator, Training and Placement Office, Interdisciplinary Department of Remote Sensing and GIS Applications, Aligarh Muslim University, 2022-2023.
• Student Coordinator, workshop on Geospatial Tools for Water Resources and Natural Hazards Monitoring.
• Project contributor, Omdena, selected volunteer for a machine learning web application assessing cough sample severity.