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Building at the Intersection of Space, AI, and Earth Science

Updated
3 min read
W
Waran Gajan Bilal Siva, Sivagajanan Sayeswaran, Grande Prairie, Alberta, Canada. Writing on vehicle export, automotive export, aerospace, business systems, and execution. Also known as Waran Siva and icecappman.

For some time now, I’ve been focused on the intersection of space, AI, and earth science — especially where data can be used to better understand resources beyond Earth.

This site is where I’m documenting that work more directly.

My focus is on areas like:

  • asteroid mineral detection

  • lunar water detection

  • planetary and mission data analysis

  • ISRU-related intelligence and workflows

The interest here is not random or new. It comes from a longer-term view that the future of space capability will depend not only on hardware and missions, but also on better data interpretation, better models, and better resource intelligence.

Why this area matters

Space resources, planetary data, and ISRU are still early compared to more crowded technology sectors.

That creates room for serious builders who can combine:

  • earth science thinking

  • data analysis

  • machine learning

  • space industry direction

That overlap is where I’ve been spending my attention.

What this platform will cover

Going forward, I’ll be using this blog to publish work around:

  • AI applied to planetary and mission datasets

  • mineral and material detection concepts

  • lunar water and resource-related analysis

  • earth science transfer into space applications

  • technical ideas, experiments, and project breakdowns

Some posts will be research-driven. Some will be project-based. Some will be strategic.

But the central theme stays the same: using AI and scientific thinking to better understand space resources and related data problems.

BUMI Aerospace

This direction also connects with the broader vision behind BUMI Aerospace.

BUMI Aerospace is built around the idea that the next era of space infrastructure will require stronger resource intelligence, better analytical workflows, and more capable use of scientific and mission data.

That includes long-term interest in:

  • ISRU-oriented analysis

  • planetary resource intelligence

  • asteroid and lunar resource signals

  • data systems that support future space operations

Why publish publicly

A lot of valuable work stays invisible when it isn’t documented.

This platform changes that.

The goal here is to make the work visible, build authority in a real niche, and create a public body of proof around the direction I’ve already been developing.

Going forward

This is not a reset. It’s a more public and structured extension of the direction I’ve already been on.

Expect more writing, more projects, and more focused work around AI, space resources, and planetary data.

That’s the lane.