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🛰️ Remote Sensing Scientist | 🔍 Exploring air quality, smart tech, and sustainability
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
NIR-Anomaly-Detection
February 23, 2026 – Present
Google Earth Engine script to compute standardized anomalies (Z-scores) of MODIS NIR reflectance (MOD09GQ) and detect low/high anomalies over a custom AOI
View Projectgridwise-atmospheric-analysis
February 17, 2026 – Present
Scalable zonal statistics framework for converting remote sensing raster time series into grid-level datasets.
View ProjectLandsat9_LSTvNDVI
November 26, 2025 – November 26, 2025
A Google Earth Engine workflow for generating median NDVI and median Land Surface Temperature (LST) from Landsat-9 Collection 2 Level-2 between April–November 2025, exporting results to Google Drive and computing NDVI–LST correlation.
View Projectair-quality-model
October 17, 2025 – October 19, 2025
A GEE script for modeling air pollutant distribution (CO, SO2, NO2, HCHO) in Mashhad, Iran, using multi-source remote sensing and Random Forest.
View ProjectGlobal-PM2.5
September 25, 2025 – September 25, 2025
Google Earth Engine (GEE) scripts for global spatiotemporal analysis of satellite-derived PM2.5 (2000–2021) based on the dataset by Shen et al. (2024).
View ProjectBasicGEE
June 1, 2025 – June 4, 2025
A set of beginner-friendly Google Earth Engine (GEE) scripts designed for teaching Master's students the fundamentals of cloud-based remote sensing.
View ProjectAOD_Precipitation
April 10, 2025 – September 25, 2025
Scripts for spatio-temporal analysis of Aerosol Optical Depth (AOD) and precipitation using Google Earth Engine.
View ProjectAirPollutionDMF
February 14, 2025 – April 21, 2025
Data organizer, dispersion modeler, and forecast modeler for air pollution analysis
View ProjectBlackBodyRadiation
July 14, 2022 – April 10, 2025
This is a MATLAB program based on Planck's Law which calculates & visualizes blackbody radiation at given temperature
View ProjectCultural Fit Analysis
The candidate's projects are heavily concentrated on geospatial analysis and remote sensing using Google Earth Engine and JavaScript, with some Python and MATLAB. While demonstrating a strong interest in a specific domain, this narrow focus might limit cultural fit for a broader 'Software Engineer' role that typically requires diverse experience across different application types, frameworks, and team collaboration models. The projects are primarily personal, making it difficult to assess collaboration or contribution to larger team efforts.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a focus on analytical and problem-solving skills within a scientific domain. However, there is insufficient data to assess soft skills like teamwork, leadership, or communication in a professional software engineering context. Operational fit for a general software engineer role is limited by the narrow technical focus.