I am Arif.
A PhD-trained scientific programmer & GIS/AI Engineer
Education and Experiences
PhD – Machine Learning – 2022-2025
From – Federation University Australia (Soil CRC Scholarship)
Thesis: Enhancing Soil Organic Carbon Estimation through Hyperspectral Dimensionality Reduction.
Examiner feedback: “This is an outstanding, and highly complete piece of doctoral research.”
BSc – Computer Science – 2004-2007
From – American International University-Bangladesh
Awards: Summa Cum Laude and scholarship for academic excellence.
Analyst Programmer
06/2025 – till date
From – Wimmera CMA, Australia
Leading GIS and software development initiatives, delivering data-driven environmental and geospatial solutions using Python, remote sensing, and machine learning.
Machine Learning Engineer
08/2022 – 05/2025
From – WebAlive, Australia
Developed machine learning–driven web applications, including semantic search systems and computer vision pipelines for real-world business workflows.
Engineering Director
07/2008 – 04/2022
From – Bit Mascot, Bangladesh
Led and architected full-stack development across diverse projects, from customised deployment platforms to enterprise billing systems.
AI Exposure
AI User
Used AI assistants to learn and clarify complex scientific concepts, synthesise relevant research works, and refine technical understanding.
AI Workflow Automator
Built Microsoft Power Automate workflows for SharePoint PDF upload, OCR, AI summarisation, and SharePoint list-item creation.
AI Integrator
Built an application using the Claude API to assess written applications individually and comparatively, supporting merit-based evaluation.
AI Practitioner
Adapted SAM2-based segmentation models using domain-specific labelled crop imagery to improve practical stubble-cover estimation.
AI Researcher
Developed novel Machine Learning algorithms for hyperspectral band selection, adaptive downsampling, and soil organic carbon estimation.
Recent Projects
Interactive GIS application development
Features: Cross-platform apps delivering interactive, user-friendly GIS layers
Skills: QGIS Server management, GIS data editing, GIS protocols, Bash scripting, mobile app development
Tools/Platforms: Ubuntu, Azure, Cursor IDE, Android Studio, Xcode, QGIS
Spectral index analysis and comparison system
Features: Interactive visualisation of spectral indices (NDVI, NDWI, etc.) across timelines with spatial point-based comparison
Skills: Remote sensing analysis, time-series processing, geospatial data handling, interactive visualisation
Tools/Platforms: Python, Google Earth Engine, React, AWS
ML system for vegetation classification
Features: Classification of native vs commercial vegetation
Skills: PyTorch model development, first-principles computer vision, pipeline design, data annotation strategy, training and evaluation protocols
Tools/Platforms: PyTorch, web-based interfaces for model testing
GIS reporting & spatial analytics
Features: Decision-ready spatial reports with precise filtering and validation
Skills: Spatial queries, spatial joins, overlay analysis, geoprocessing workflows, requirement interpretation, accuracy validation, automation with AI agents
Tools/Platforms: ArcGIS Pro, QGIS, Python, SQL, Claude
Selected Publications
Deep Learning-based Adaptive Downsampling of Hyperspectral Bands for Soil Organic Carbon Estimation
BSDR: A Data-Efficient Deep Learning-Based Hyperspectral Band Selection Algorithm Using Discrete Relaxation
The Human Arif
How I Am
Zero-ego. Approachable. Fun-loving.
What I Value
People around me enjoying their time.
Hobbies
Gaming, Reading, Exploring science & mathematics with AI agents.
Passion
Mathematics.