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Sriram1023/README.md

Hi, I'm [Sriram Sudarsanam] 👋

Senior Data Scientist | Specialized in GeoAI & Computer Vision

I build production-grade automated pipelines that bridge the gap between advanced Computer Vision models and multi-spectral geospatial data. My work focuses on scalable raster processing, automated land-cover classification, and spatial engineering.

🛠️ Technical Ecosystem

  • Core & Architecture: Python, Flask, FastAPI, Databricks, PySpark
  • Geospatial Engineering: Rasterio, NumPy, Shapely, Fiona, GDAL/OGR, PyProj
  • Computer Vision & ML: PyTorch, Segment Anything Model (SAM/SAM2), OpenCV, Scikit-Learn
  • DevOps & MLOps: GitHub Actions (CI/CD), Docker, Poetry, Pytest

🔬 Core Focus Areas

  • Large-scale Rasterization & Vectorization: Designing zero-loss geometric conversion pipelines.
  • Top-Down Computer Vision: Adapting foundation models (like SAM) to overcome scale-invariance and spatial coordinate alignment in satellite/aerial imagery.
  • Automated Data Orchestration: Building robust, time-triggered workflows for environmental and green-space health analytics.

Popular repositories Loading

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    winutils.exe hadoop.dll and hdfs.dll binaries for hadoop windows

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  4. geoai-segmentation-engine geoai-segmentation-engine Public

    An automated, end-to-end pipeline using SAM and Rasterio to segment and classify environmental assets from high-resolution imagery.

    Python