Systems builder · distributed systems & applied cryptography · autonomous AI agents
I build and study complex multi-actor systems. For over a decade my work has centered on one question: how decentralized systems of many independent actors stay stable and governable — first in fault-tolerant infrastructure, consensus mechanisms and applied cryptography, then in token economics and DAO governance, and now in swarms of autonomous AI agents. I apply homeostatic control theory to these systems and validate it in production: most recently a multi-agent consensus system for LLM agents, shipped with a reproducible evaluation harness. I trained in cryptography and data security at Russia’s national nuclear university — M.Sc. in Information Security, NRNU MEPhI (Obninsk Institute of Atomic Energy), with coursework in quantum cryptography and quantum information — and later completed a Ph.D. (Information Technologies: AI, zero-knowledge proofs, blockchain, data science). I treat AI engineering the way experimental science treats a noisy instrument: measure, calibrate, state your uncertainty.
Operating a Human-Governed Multi-Machine LLM Agent Fleet: An Experience Report.Preprint, Zenodo (2026), CC BY 4.0 — what actually breaks when LLM agents run across several machines under one human
Homeostatic Governance: A Gorsky–Anokhin Alternative to the VSM.Preprint, Zenodo (2026), CC BY 4.0; US provisional patent pending — three-circuit control model for multi-actor systems, with agent-swarm mapping; claw-consensus is the reference implementation
When Does Graph Expansion Help Personal-Corpus Retrieval? A query-class-stratified evaluation protocol.Preprint, Zenodo (2026), CC BY 4.0 — evaluation protocol and pilot telemetry behind sqlite-graph-memory
Research on contour feature extraction of multiple sports images based on nonlinear mechanics.With J. Wang, M. Li, U. Hryneuski, A. Krylova. Nonlinear Engineering 11 (2022)
Since 2015Co-founder, Platinum Software Development Company / Platinum VC & Incubator (APAC) — software development, Web3 infrastructure, fund and incubator