Summary
Alexey Gronskiy is a senior software engineer and ML leader with nine years of experience building production-grade AI systems, currently at NVIDIA after leading ML efforts at Snyk. He drove Snyk DeepCode AI Fix from beta to GA, expanding automated fix coverage across seven languages and speeding experimentation by moving train/eval pipelines to automated KubeFlow on Kubernetes. Earlier he prototyped Daedalean’s real-time air-to-air detection and collision-avoidance system, combining avionics-grade evaluation with field flight testing as a pilot. Comfortable across C++, Python and Go and tooling like Bazel, Helm and k8s, he focuses on end-to-end productionization from data pipelines to serving and optimization. Alexey is known for unlocking cross-team collaboration to accelerate delivery and for insisting that demo-first work be engineered to reliably work in production. Outside work he volunteers as a paramedic and flies as a pilot, bringing operational rigor and calm under pressure to engineering challenges.
9 years of coding experience
15 years of employment as a software developer
Doctor of Sciences (Dr. sc. ETH Zurich) Computer Science, Doctor of Sciences (Dr. sc. ETH Zurich) Computer Science at ETH Zürich
Lomonosov Moscow State University
Russian, English, French, German