Summary
Sunayana Ghosh is a Senior Software Engineer with over a decade of experience building high-performance geospatial and scientific software, currently based in Goa, India. She combines a PhD-level background in mathematics and computing with hands-on expertise in C++, Julia, Python and large-scale data engineering on Databricks and Spark to deliver commercial flood and climate-risk datasets. Her work spans algorithm design (memory-efficient distributed flood and wear-simulation algorithms), production-grade pipelines (Docker, Argo, GitHub Actions, Pachyderm) and bindings across languages (wrapping a C++ DEM library for Julia). Sunayana has modernised CI/CD and tooling at multiple organisations and introduced data-versioning practices for ML projects, reflecting a strong focus on reproducible, scalable research-to-production workflows. Beyond engineering, she brings academic rigor from years of numerical analysis and geometric-computing research to practical product delivery, often solving large-data problems with numerically robust algorithms.
12 years of coding experience
11 years of employment as a software developer
B.Sc. Mathematics (Statistics Physics Electronics), B.Sc. Mathematics (Statistics Physics Electronics) at Fergusson College
Indian Institute of Technology Bombay
Doctor of Philosophy (PhD) Mathematics & Computing, Doctor of Philosophy (PhD) Mathematics & Computing at University of Groningen
English, German, Dutch, Hindi, Bengali