Miklós Prisznyák is a seasoned software engineer with over 20 years of experience in the IT industry, complemented by a strong background in scientific research. His expertise lies in object-oriented software development and design, with a deep command of Python, Linux, and advanced mathematical techniques used to craft high-performance, effective solutions.
Throughout his career, Miklós has worked with global investment banks and a major media company, gaining extensive experience across complex and data-intensive environments. He currently focuses on Big Data and AI technologies, integrating his technical depth with emerging innovations in machine learning and artificial intelligence.
His specialties span software architecture and the full software development life cycle (SDLC), test-driven development, scientific and engineering applications, mathematical modeling, numerical methods, time-series analysis, statistics, financial mathematics, Monte Carlo methods, large-scale data processing, LLMs, differential equations, and optimization techniques. Miklós brings a rare combination of theoretical insight and practical know-how to every project he tackles.
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