Summary
Adam Mihalyi is a data scientist and software engineer with a decade of experience building data-driven systems, from financial risk back-ends to prompt engineering for large language models. He has strong Python expertise (Pandas, NumPy, APIs) and practical exposure to TypeScript/React and Java from roles at JPMorgan, Motorola Solutions, and short stints at major financial firms. His background blends rigorous academic training in mathematics and data science with hands-on ML work—ranging from CERN ROOT-based classifiers to production shock repository services—giving him a rare mix of theoretical and production-grade skills. Based in Budapest and available since September 2022, he’s recently focused on LLM prompt engineering while retaining deep risk-domain experience. A detail that sets him apart is his early work creating visual time-series tools for audio on Android and a MATLAB photon-pair detection algorithm, reflecting a versatility across signal processing, ML research, and backend engineering.
10 years of coding experience
5 years of employment as a software developer
MSc Mathematics and Data Science, MSc Mathematics and Data Science at University of Stirling
BSc Hons Mathematics, BSc Hons Mathematics at University of Glasgow
Hungarian, English