Summary
Aleksei Zhuravlev is a Staff Software Engineer in Applied ML with 12 years of experience building high-impact on-device and cloud ML systems, now working on LLM agents at Google. He combines deep C++ and Python expertise with hands-on research in generative models, GANs, diffusion models and DNN-based classification to ship production-grade features at scale. At Snap he led a team delivering text-guided face transformation and retouching technologies that doubled engagement across billion-plus monthly traffic products, and at ABBYY he drove OCR R&D that produced patented inventions and measurable accuracy and speed gains. He excels at closing the loop from data collection and synthetic datasets through model optimization, knowledge distillation and latency reduction for mobile deployment. A mentor and infrastructure advocate, he pushes code sharing, tooling and NAS-driven model efficiency improvements to multiply team impact. His background from MIPT and track record of translating advanced ML into widely used product experiences makes him rare among applied research engineers.
13 years of coding experience