---
title: "SpaceSense"
description: "From satellite data to crop-health monitoring. A production data platform operating at terabyte scale."
canonical_url: "https://www.rohanchaudhari.fr/portfolio/spacesense"
md_url: "https://www.rohanchaudhari.fr/portfolio/spacesense.md"
last_updated: "2026-09-22"
---

# SpaceSense

From satellite data to crop-health monitoring. A production data platform operating at terabyte scale.

## Context

Production experience · 2020–2025

[SpaceSense website](https://www.xfarm.ag/en/blog-posts/xfarm-technologies-announces-integration-of-greenfield-technologies-spain-and-spacesense-france-to-establish-itself-as-a-european-agtech-leader)

Production engineering at SpaceSense, October 2020 to September 2025.

## My role

Software Engineer — Data & ML Systems

Data-platform ownership across ingestion, processing, storage, and operations, alongside distributed pipelines and ML dataset production.

## Problem

Agricultural monitoring depends on turning repeated satellite observations into data that product and machine-learning teams can use. The challenge spans the full pipeline, including operational reliability and the speed of dataset iteration.

## Result and evidence

13 TB ingested every five days; 4M+ geospatial arrays across three countries; iteration cycles reduced from multiple sprints to less than one.

## Boundaries

These are results from my engineering role, rather than a claim to have built the entire company product alone. The diagram is a simplified overview, not an internal architecture or product screenshot.

[Read the illustrated case study](/portfolio/spacesense).

## Sitemap

See the full [Markdown sitemap](/sitemap.md), [LLM index](/llms.txt), or [contact page](/contact.md).