A little bit about me!

Here are some of my skills in a nutshell

Machine Learning

Deep Learning

Generative Models

Land Cover Classification

Object Detection

Image Segmentation

Change Detection

import torch

import rasterio

from torchvision import transforms

def preprocess_image(file_path):

    with rasterio.open(file_path) as img:

    array = img.read()

    tensor = torch.from_numpy(array)

    return tensor

image_tensor = preprocess_image('img.tif')

transform = transforms.Compose([...])

transformed_tensor = transform(image_tensor)

Python

JavaScript/TypeScript

Rust

Java

ArcGIS

QGIS

Web GIS

2024-Present
Founder & Data Scientist
GeoRetina, Canada
Developed a scalable AI-powered web platform to monitor and analyze climate change impacts using multi-modal data.
2022-2024
Data Scientist
Lim Geomatics Inc., Canada
Developed different machine/deep learning models for a wide spectrum of forestry applications.
2019-2022
PhD in Physical Geography
Queen's University, Canada
Developed a wide range of deep learning solutions for habitat mapping, urban mapping, and local climate zone mapping.
2017-2018
Machine Learning and Remote Sensing Specialist
Omran Tarightat, Iran
Developed various machine/deep learning models for land-cover classification tasks.
2014-2016
Msc. in Surveying (Geomatics) Engineering
University of Isfahan, Iran
Developed a predictive modeling approach for parameterizing the Multi-Resolution Segmentation algorithm in remote sensing.