Akhil Marupilla

Akhil Marupilla / Senior Software Engineer

Backend · Data · GraphQL

Engineering systems
for the real world.

I build backend, data, and GraphQL platforms that connect production engineering with agricultural scale and scientific computing.

Explore my work Resume
Agricultural fields and a winding waterway in warm evening light.
01 / Across the fieldLand. Data. Systems.

Production engineering

Bayer / Climate LLC

Agricultural platforms at scale

Scientific computing

VCell / BioSimulations

Reproducible simulation infrastructure

Professional recognition

IEEE Senior Member

Elevated February 2026

01 / Selected work

Built for consequence.

Production platforms, scientific infrastructure,
and research you can inspect.

01

Production platform · Climate LLC / Bayer Crop Science

Agricultural platforms

Senior Software Engineer · Backend & data platforms

Model execution and geospatial delivery across millions of acres.

  • REST/OpenAPI
  • WunderGraph
  • GraphQL Federation
  • AWS
Read case study
02

NIH-funded scientific platforms · UConn Health

VCell & BioSimulations

Programmer Analyst · UConn Health · 2019–2021

HPC dispatch and service integration for reproducible biological simulations.

  • Backend APIs
  • SLURM
  • HPC
  • NATS
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03

Independent geospatial research · Open source

TerraFlow-Agro

Creator · Independent open-source project

Repeatable agricultural suitability analysis with explicit provenance.

  • Python
  • Geospatial workflows
  • Provenance
  • Spatial validation
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02 / Research & contribution

Engineering meets inquiry.

Google Scholar ↗
01

Nucleic Acids Research, 2022.

BioSimulators: a central registry of simulation engines and services for recommending specific tools.

B. Shaikh, L. P. Smith, D. Vasilescu, G. Marupilla, et al.

02

Nucleic Acids Research, 2021.

RunBioSimulations: an extensible web application that simulates a wide range of computational modeling frameworks, algorithms, and formats.

B. Shaikh, G. Marupilla, M. Wilson, et al.

03

Fluid Mechanics: Open Access, 2016.

Analysis of exhaust manifold using computational fluid dynamics.

M. A. Teja (Marupilla Akhil Teja), et al.

Next chapter / In progress

Applied AI, with production discipline.

An independent learning and build track in retrieval, agents, evaluation, and model serving. Bringing the same attention to contracts, failure handling, and observability to emerging AI systems.

Visit the lab ↗

03 / Let’s build something that matters

Complex systems.
Clear thinking.

Open to senior backend and data-platform opportunities.
Let’s talk about what your team is building.

[email protected]
LinkedIn ↗GitHub ↗Download resume ↓