Summary
Aleksandr Groznykh is a Machine Learning Engineer based in Berlin with a decade of experience applying computer vision and generative art techniques to product-focused engineering. Currently at Arrival, he brings practical ML deployment experience from roles across startups and media-focused engineering teams, blending research-driven approaches with production constraints. His background spans creative technical work at planetarium.one and negativespace.pro, suggesting strength in visual ML, data pipelines, and media systems. Known for merging artistic sensibilities with robust engineering, he excels at turning visual models into reliable features for end users. Colleagues would expect a practitioner comfortable moving models from prototyping into scalable codebases in fast-paced environments.
10 years of coding experience
2 years of employment as a software developer