Where ideas come to life

Maksym Nenashev

Systems Architect · Distributed AI & MLOps · Academic Researcher

I architect asynchronous, high-throughput platforms bridging machine learning with robust backend engineering. My work focuses on distributed topologies, multi-modal inference cascades, and operational stability.

I engineer multi-model NLP ensembles and biometric vision layers using Ruby, Python (FastAPI/PyTorch), Scikit-learn and R/Shiny, prioritizing modular design, maintainability, and predictable system behavior.

Alongside production engineering, I serve as a university lecturer and active researcher, publishing peer-reviewed work on federated systems, MLOps, and applied system dynamics.