Distributed · Edge · Data Systems
Building production software since 2008, I lead architecture and implementation across industrial connectivity, data ingestion, processing, storage, reliability, and cloud and enterprise delivery—turning difficult production constraints into systems teams can operate and evolve.
01 / Expertise
ai practice
Coding agents are part of my daily development. I write my own skills to extend what they can do and to keep repeatable work fast and consistent.
Applied R&D
Outside my core professional work, I am keenly interested in crypto and financial systems. My side projects include designing and training PyTorch models on large financial datasets, along with the surrounding data-generation, experiment-management, and GPU-training pipelines. I also run local LLM inference and experiment with private coding-agent workflows.
02 / Experience
Litmus Automation
Lead technical work across industrial connectivity, collection and normalization, analytics and storage, and reliable delivery to cloud and enterprise systems. Define architecture, decompose cross-cutting changes, review designs and code, and remain hands-on in critical Go services.
Litmus Automation
Built backend and edge services in Go, C++, and Python for an industrial data platform, contributing to architecture, database integrations, performance work, device-data processing, and upstream delivery.
Sberbank Technology
Developed a distributed high-performance risk calculation system, implemented core C++ computation modules, and helped modernize backend architecture and Linux delivery.
NIPK Electron
Built clustered PACS and DICOM services with high availability, replication, distributed storage, cross-platform delivery, testing, and deployment automation.
Bank Otkritie
Developed banking applications, client messaging systems, and internal tools while progressing from a part-time junior role to software engineer.
03 / Contact
Send a short description of the system, current symptoms, constraints, and desired outcome. I will start with the questions that reveal the highest-risk assumptions.
Discuss an engineering challenge