Artem Konotpchyk

I am a Data Scientist and AI Engineer at IBM, where I work on machine learning systems and applied AI in production environments. My day-to-day work focuses on building, deploying, and evaluating ML models, while also exploring emerging computational approaches that challenge classical assumptions. Alongside classical machine learning, I work with quantum computing and Quantum Machine Learning, with an emphasis on practical experimentation rather than theory alone. I have delivered a hands-on quantum computing workshop at IBM, introducing quantum concepts through runnable code and real examples. Using Qiskit, I design and test hybrid quantum–classical workflows, compare them with classical baselines, and analyze the effects of noise, limited qubit counts, and current hardware constraints.

Quantum Machine Learning with Qiskit (workshop)