Summary
Peter Michalák is a Senior Data Scientist with 11 years of experience applying machine learning, deep learning and statistical methods to build data-driven products and services for SMEs and large organisations. Based at Newcastle University's National Innovation Centre for Data, he translates research-grade techniques into practical solutions using Python, PyTorch, open-source models and commercial APIs. His background spans edge and IoT research—earning a PhD for work on automatic computation placement and energy-aware offloading—which informs his strengths in near-device analytics and resource-constrained ML. Comfortable moving between research, productisation and client-facing roles, he has a knack for turning complex infrastructure constraints into deployable pipelines and business value. An entrepreneurship-trained scientist with hands-on cloud and embedded systems experience, he brings both academic rigor and production pragmatism to innovation projects.
11 years of coding experience
5 years of employment as a software developer
Entrepreneurship Development Program, Entrepreneurship Development Program at MIT Sloan Executive Education
Bachelor's degree, Computer Software Engineering, Bachelor's degree, Computer Software Engineering at JAMK University of Applied Sciences
Doctor of Philosophy (Ph.D.), Cloud Computing for Big Data, Doctor of Philosophy (Ph.D.), Cloud Computing for Big Data at Newcastle University
Bachelor's degree, Computer Engineering, (with distinction), Bachelor's degree, Computer Engineering, (with distinction) at Žilinská univerzita
Economics, Accounting, Slovak and English language, Economics, Accounting, Slovak and English language at Business Academy, Žilina, Slovakia
English, Slovak