Michael Nedzelsky is a seasoned software engineer with 15 years of experience and deep expertise in Java/JVM ecosystems, Python, and data-focused backend engineering. Currently working on Gaia/Plato software at the Institute of Astronomy in Cambridge, he blends scientific software needs with production-grade engineering. He has driven automated testing and LLM experimentation at Diffblue, built bioinformatics and data pipelines at Genestack, and contributed to the early Kotlin 1.0 effort at JetBrains. His background includes low-level systems work—building a Pascal-like compiler/runtime integrated with Delphi via JNI—which reflects a rare mix of language tooling, performance-minded engineering, and applied mathematics. Comfortable across cloud storage, search engines, and analytical databases, he often turns mathematical insight into practical optimisations, such as replacing Monte Carlo methods with provable approximation formulas. Based in Cambridge, he brings a pragmatic, research-friendly approach to complex engineering problems.
15 years of coding experience
22 years of employment as a software developer
Specialist Mathematics, Specialist Mathematics at Ivanovo State University
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Michael Nedzelsky - Gaia Plato Software Engineer (Fixed Term)