Aman Bagrecha
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Aman Bagrecha

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About

I am a geospatial scientist working at the intersection of GIS, remote sensing, and deep‑learning computer vision. I advocate and contribute to open-source software - Xarray, QGIS, STAC, GeoPython stack to name a few.

Experience

GalaxEye Space | Geospatial Scientist | Sept 2023 – present

Blue Sky Analytics | Data Scientist | May 2022 – Sept 2023

Satyukt Analytics | Remote Sensing Engineer | Sept 2021 – Mar 2022

Rotten Grapes Pvt. Ltd | Web GIS Developer | Feb 2021 – May 2021

Past work, current focus and interests:

  • Computer vision: deep learning for segmentation and object detection; current focus on self‑supervised learning.
  • Sensors and data: SAR and optical VHR data with spatial resolution down to 0.5 m apart from open‑source datasets; experience with datasets from Umbra, Capella, Maxar, SkySat, ICEYE, and Synspective.
  • MLOps: DVC and MLflow; designed and deployed end‑to‑end experiment tracking, data versioning, and reproducible training/inference pipelines in production.
  • Performance: GPU optimization and profiling; Python packaging and environment management for reliable builds.
  • Workflows: STAC experience including operating a STAC API server.
  • Tooling: developed QGIS plugins; built an active‑learning pipeline using a Random Forest predictor and QGIS as the labeling tool.

I co‑founded Let’s Talk Spatial, a community for geospatial enthusiasts, hosting events and collaborating with other communities like OpenStreetMap Bengaluru and IEEE GRSS Bangalore chapter. I actively contribute to open‑source projects and share my knowledge through blogs, videos, and workshops.

As the Young Professional Chair of IEEE GRSS Bangalore chapter, I co‑organize various events.

I’ve spoken at open‑source conferences like FOSS4G Kosovo and FOSS4G Asia Seoul, sharing my insights on open‑source technologies.

My publications can be found on Google Scholar.

I graduated from Rashtreeya Vidyalaya College of Engineering in Civil Engineering where I was the president of the ASCE Student Chapter, leading the team to the Concrete Canoe Competition among various other activities. During college, I was also a Research Intern at the Indian Institute of Science, working on non‑stationary rainfall intensity surface drainage design.

Beyond work, I enjoy jogging and playing badminton.

Featured Projects

Brush Selection Tool for QGIS

A QGIS plugin that provides an intuitive ‘painting’ interface for selecting polygon features by dragging a circular brush across the map canvas

Image Viewer (Streetview-Alike)

A web-based image viewer with tiling capabilities for large image collections, designed to handle large panoramic images including 360-degree camera images.

Non Local Means Visualisation

It allows the user to visualise the inner workings of the NL-means algorithm.

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