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Achievement: QuickdrawAchievement: Arctic Code Vault ContributorAchievement: Pull Sharkx2

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@virtualcell

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gmarupilla/README.md

Gnaneswara (Akhil) Marupilla

Senior Scientific Software Engineer
Geospatial Modeling • Research Software Engineering • System Architecture

I build scalable scientific and geospatial software systems that support climate-resilient agriculture, high-throughput modeling workflows, and reproducible research. My experience spans NIH-funded computational modeling, large-scale data engineering at Climate LLC (Bayer Crop Science), and the development of open-source tools that strengthen the scientific software ecosystem.

Professional Focus

Backend and System Architecture

  • Distributed microservices (Python, FastAPI, async systems)
  • Event-driven execution (AWS Lambda, Step Functions, SQS/SNS)
  • High-throughput batch computation and chunk-based orchestration
  • API design for research and production (REST, GraphQL)

Geospatial and Scientific Computing

  • Raster workflows (GDAL, Rasterio)
  • ROI clipping, zonal statistics, tiled computation
  • Climate dataset integration and agricultural analytics

Bayesian Modeling and ML Infrastructure

  • Predictive diagnostics (WAIC, LOO, PSIS)
  • Uncertainty quantification and posterior comparison
  • Explainability pipelines (SHAP, partial dependence, calibration)
  • Reproducible scientific workflows and auditability

Engineering Operations

  • Containerized environments (Docker)
  • CI/CD with GitHub Actions
  • Observability (Loki, Promtail, Grafana)
  • Self-hosted compute and storage (TrueNAS, Portainer)

Technology Stack

Open-Source Research Software

  • TerraFlow-Agro – Reproducible geospatial modeling workflow (submitted to JOSS)
  • TrialFlow-Agro – Bayesian diagnostics toolkit for agricultural field-trial analytics
  • ExplainFlow – Explainability and model auditing framework
  • GeoVizFlow – Tools for reproducible geospatial visualization
  • Computational Modeling Suite – Unified scientific workflow and container ecosystem

All projects emphasize reproducibility, transparency, and scientific rigor.

Engineering and Research Mission

My work focuses on building open-source scientific and agricultural modeling systems that improve reproducibility, enhance model transparency, and support large-scale environmental and research decision-making across the United States.

Contact

Website: https://marupilla.dev
GitHub: https://github.com/gmarupilla
LinkedIn: https://www.linkedin.com/in/gmarupilla

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