Author profile

Masood Sultan

Computational geoscientist & AI engineer · Berlin, Germany

4 articlesPublished in Journal of Applied Geophysics

Computational geoscientist and AI engineer. Writes about machine learning systems, geospatial data, and the methods behind scientific computing. Published in Journal of Applied Geophysics (2020).

Areas of expertise

  • Computational geoscience
  • Machine learning
  • Earth observation & remote sensing
  • Geospatial data systems
  • Open-source intelligence

Coverage on this site

Elsewhere

Articles by Masood Sultan

  1. OmniWatch: Fusing 48 Open Sources Into One Intelligence Dashboard

    A self-hosted OSINT platform that normalises 48 public data sources into a single event schema, with a local LLM correlation layer on top. Here is what it does, what it does not do, and where the design trade-offs sit.

    TechnologyAnalysis4 min read

  2. Poco X8 Pro Max: A Serious Edge-AI Host, With One Catch

    An 8,500 mAh silicon-carbon battery, 12 GB of LPDDR5X, and a 3 nm chipset make the X8 Pro Max a credible host for quantised local models. Whether you can actually run them depends on software support, not silicon.

    TechnologyAnalysis4 min read

  3. AI Weather Models Are Coming for Traditional Forecasting

    GraphCast, Pangu-Weather, and FourCastNet showed that learned models can match or beat physics-based forecasts on reanalysis data. ECMWF now runs one of them operationally. The limits matter as much as the results.

    GeoscienceAnalysis5 min read

  4. Python Libraries Every Geoscientist Should Know in 2026

    The Python geoscience stack has settled into a stable core: labelled arrays, lazy computation, publication-quality maps, and geospatial machine-learning tooling. Here is what each library is for — and where the documentation lives.

    Computer ScienceTutorial3 min read