Abir Raihan
Résumé

About

Geospatial Artist by Character.
Precision Agriculture & Urban Planning by Foundation.
Engineer by Practice.

Geospatial Data Engineer | Cloud Data Platforms | GeoAI
Greensboro, North Carolina, USA

The Practice

Three Disciplines, One Practice

Geospatial Engineering is the practice; Precision Agriculture and Urban Planning are where it came from. Each domain sharpens the others — field-level agronomy shapes how I model spatial variation, and a planner's eye for land use shapes how I think about scale and consequence.

Geospatial Analysis & Engineering

  • spatial analysis
  • remote sensing
  • data systems
  • usable at scale
  • operational and analytical
  • Owns the John Deere integration end to end, from webhook-driven processing to delivery in BigQuery.
  • Builds event-driven pipelines on Cloud Run, Pub/Sub and Cloud Tasks in place of manual, SFTP and desktop-era workflows.

Geospatial Programmer Analyst / Ag Specialist — Growers Holdings

Agronomy & Precision Agriculture

  • soil nutrients
  • crop yields
  • planting
  • application
  • satellite imagery
  • geospatial workflows
  • practical decisions
  • fields and crops
  • Built variable-rate fertilizer logic comparing soil-test values against target-yield nutrient needs.
  • Interpolated soil properties into continuous surfaces with IDW and ordinary kriging for nutrient and productivity analysis.

Senior Data Analyst — Growers Holdings

Urban & Rural Planning Foundation

  • land use
  • development patterns
  • land analysis
  • location-based decisions
  • people and place
  • Studied land-use analysis, spatial planning and urban-growth modeling as a formal discipline.
  • Thesis: measuring urban sprawl and its effect on public service facility around Khulna City, using GIS and satellite remote sensing.

B.S. in Urban and Rural Planning — Khulna University

Where It Converges

Geospatial Engineering, Agronomy and Planning - distinct disciplines that converge on the same purpose: Stewardship of the land, food systems and communities that depend on them.

I am a geospatial data engineer and, at heart, a Geospatial Artist: someone who sees location not as another column, but as the connective fabric between information, systems and decisions.

Over more than a decade, my work has grown from GIS and remote-sensing analysis into production cloud platforms, automated spatial pipelines, backend services and agricultural decision-support systems.

I focus on making technically complex systems dependable and understandable—from ingesting field and machine data to processing satellite imagery, modeling spatial relationships and delivering analytics people can act on.

My foundations in urban and rural planning and in plant and soil science give me a practical feel for how land, soil, crops, weather, infrastructure and people interact, and that context stays attached to the data I build with instead of being flattened into rows and columns.

I am increasingly drawn to GeoAI: intelligent geospatial platforms that combine spatial data, analytics, machine learning and domain knowledge to route each question to the right method, support prediction and make location-aware decisions smarter.

Professional Experience

Roles & Progression

  1. July 2024 — Present

    GROWERS HOLDINGS INC.

    Geospatial Programmer Analyst / Ag Specialist

    Developing production geospatial and agricultural data systems that connect cloud processing, spatial analytics and operational decision support.

    • Design and maintain automated ingestion and transformation workflows for large agricultural datasets (field boundaries, planting, harvest and yield, fertilizer application, soil and weather), turning provider-specific data into standardized, analysis-ready products and mapping crop and variety names to controlled definitions while preserving the raw values.
    • Own the John Deere integration end to end: technical discovery and due diligence, customer authorization, webhook-driven processing, validation, standardization, failure reporting and delivery to BigQuery.
    • Build event-driven processing on Cloud Run, Cloud Storage, Pub/Sub and Cloud Tasks, with scheduled recovery, replacing manual, SFTP and desktop-era workflows with observable, repeatable cloud processes.
    • Engineer reliable synchronization from operational PostgreSQL/PostGIS into BigQuery using a transactional-outbox pattern, dbt staging and marts, batching, monitoring and automated recovery.
    • Designed workload-based routing so standard datasets stay on a simple Python path while very large ones can move to Spark, Apache Sedona and Dataproc Serverless, balancing performance against cloud cost.
    • Built the Model Context Protocol (MCP) service, in FastAPI on Cloud Run, that gives AI applications controlled access to the analytical platform, keeping trusted analytics and predictive models separate from LLM interpretation and explanation. The wider LLM-agent work is a team effort.
    • Own production monitoring and troubleshooting, and ship through Terraform-managed infrastructure and review-gated CI/CD.
    • Partner with agronomy, analytics, account-management and engineering teams to turn operational problems into scalable data products.

  2. April 2020 — June 2024

    GROWERS HOLDINGS INC.

    Senior Data Analyst

    Built and scaled automated data, remote-sensing and analytical workflows for precision-agriculture operations.

    • Led advanced geospatial and agronomic analysis that turned soil, yield, planting, application and management-zone history into field-level recommendations.
    • Replaced repetitive desktop-GIS and agronomic-software workflows with Python automation, taking fertilizer and prescription preparation from half a day or more to roughly 15–30 minutes and making it repeatable across analysts.
    • Developed variable-rate fertilizer recommendation logic that compares current soil-test values with the nutrient requirements for a target yield, using regression against historical yield, and validated it on trial plots and prior-year results.
    • Interpolated soil properties into continuous surfaces with IDW and ordinary kriging (Gaussian variogram), and evaluated regression kriging and satellite-imagery relationships for nutrient and productivity analysis.
    • Built variable-rate planting prescriptions that estimate zone-level yield potential from soil samples and multi-year yield history and assign differentiated seeding rates, with an analyst review step before release.
    • Automated geometry preparation for legacy John Deere monitors by partitioning field boundaries to their six-mile constraint, cutting a one-to-two-day GIS task to roughly 7–8 minutes and letting growers keep working equipment in service.
    • Mentored teammates on geospatial analysis, data quality and automation, and helped move the team from manual GIS processing toward reusable, programmable workflows.

  3. January 2019 — March 2020

    GROWERS HOLDINGS INC.

    GIS Data Analyst

    Delivered spatial processing, field-level analysis and GIS workflows supporting agricultural services and planning.

    • Managed, validated and maintained field boundaries, soil-sample datasets and related spatial and tabular data from multiple platforms and providers.
    • Produced maps, spatial reports and field-level outputs for agronomic planning and customer communication, using overlays, spatial joins, buffering and zone processing.
    • Linked laboratory soil results to sample locations and prepared boundaries, samples and management zones for variable-rate projects.
    • Wrote early Python scripts and internal tools to automate repetitive GIS and desktop-software tasks, the start of an automation practice that later grew into cloud engineering.

  4. January 2017 — December 2018

    Texas Tech University

    Graduate Research Assistant

    Applied GIS, remote sensing and spatial analysis to plant, soil and agricultural research.

    • Coordinated same-day collection of in-situ soil samples, UAV multispectral and thermal imagery and satellite overpass data so the datasets were temporally aligned.
    • Processed multi-source remote-sensing and field data in Python and R, deriving image, vegetation and thermal indices and evaluating their relationship with measured soil moisture.
    • Validated remote-sensing estimates against field soil measurements and reported the results in a thesis and a conference presentation, and co-authored a published paper on field-scale soil variability.

Education

Academic Foundation

December 2018

M.S. in Plant and Soil Science

Texas Tech University

GIS, Remote Sensing, Precision Agriculture, Satellite and UAV Imagery, Soil Science and Spatial Analysis.

Coursework Geospatial Analysis and Interpretation; Precision Agriculture

Thesis Surface Soil Moisture Estimation Using Unmanned Aerial System and Satellite Images. link ↗

September 2014

Bachelor of Urban and Rural Planning

Khulna University

Land-Use Analysis, GIS, Spatial Planning and Urban-Growth Modeling.

Coursework Geographic Information Systems I and II; Remote Sensing I and II

Thesis Measuring Urban Sprawl and Its Effect on Public Service Facility Around Khulna City: A Geographic Information System and Satellite Remote Sensing Approach.

ContactOpen to Conversations

Let’s Connect Spatial Data to Real Decisions.

Open to conversations about geospatial engineering, cloud data platforms, GeoAI and spatial analytics.

Email MeLinkedIn View Résumé