TradFi → AI → DeFi
Practitioner with 20+ years in financial markets. Operating at the rare intersection of classical finance, AI/ML/DL, and decentralized finance (DeFi).
Last role: Adviser to the President · top-10 Russian banking group
Led the preparation of the association's official response to the Bank of Russia's June 2026 consultation paper on stablecoin regulation: aggregated six polls of the professional community, presented it to the ACI Russia Council, and the approved text was submitted to the Bank of Russia's Financial Market Strategy Department on 31 August 2026.
Details →Moderated the Pro Markets live session on what changes for Russian participants when Federal Law 282-FZ on digital currencies and digital rights takes effect on 1 September 2026, with Stanislav Akulinkin (Financial University under the Government of the Russian Federation, Department of Financial Technologies; RAKIB, Vice President for financial institutions using blockchain) and Mikhail Uspensky (KIAP Attorneys at Law, partner in the tax practice; expert council of the State Duma working group on cryptocurrencies).
A classification of Bitcoin integration methods in decentralized financial infrastructure. Published in Russian, vol. 5 no. 2 (2026), pp. 3026-3037, CC BY 4.0, under the HSE University Faculty of Computer Science affiliation printed on the article.
Details →Live panel on the Bank of Russia key-rate decision. Panelists: Igor Safonov, Daria Tarasenko, Sergei Solovev, Dmitry Polevoy. Moderator: Pavel Pikulev.
Moderated the Artificial Intelligence for Trading panel at the ACI Russia eFX & Digital Summit in Moscow, with Ekaterina Lozgacheva (Bank of Russia, Strategic Development of the Financial Market), Alexey Savin (VTB, electronic trading), Alexey Unzhin (Alfa-Bank, algorithmic trading), Sergey Markov (Sberbank, AI technology development) and Dmitry Lesnov (Finam, management board). The discussion started from the Bank of Russia consultation papers on AI in financial markets.
Portfolio management >$4B, multi-asset trading, risk models (VaR, GARCH), treasury operations. Bloomberg BQNT quantitative tools.
MSc programmes in AI and Financial Engineering. Time-series forecasting, smart-contract vulnerability detection from EVM bytecode, honest evaluation of ML in high-stakes settings.
Full DeFi lifecycle: mining → wrapping → liquidity (Uniswap, Aave, Curve). Smart-contract architecture, tokenomics, Solidity. ML-based security.
Led AI transformation: roadmap, use-case prioritization, pilot launches. Supervised Treasury and Financial Markets Operations, including cross-border payments and settlements.
Ran four desks — money markets (repo, interbank, deposits), securities, FX (spot, swaps, forwards, futures) and brokerage. Securities portfolio >$4B, daily money-market operations up to RUB 100B. Member of the bank's collegiate bodies, reporting directly to the President.
Multi-asset trading and portfolio management: bonds, Eurobonds, FX, derivatives. Rebuilt execution and settlement infrastructure from scratch after counterparty and vendor access was lost. Built quantitative screeners in Bloomberg BQNT: Eurobonds (1000+ issuers) and US equities with DCF models (2000+ companies).
Led risk team. VaR models (SMA, EWMA, GARCH, historical simulation), stress testing, limit framework. CBR regulatory interaction.
OTC derivatives risk, collateral management, Basel II. Investor relations and rating agency communications.
Bytecode-only risk triage for the ~95% of Ethereum mainnet that ships unverified — which contracts to review first, not a bug verdict.
Tokenized vault rebalanced by an off-chain agent: Aave V3 and Compound V3 adapters, decisions signed with EIP-712, 67 tests and 76,800 invariant calls with no violations.
Non-custodial, gas-aware USDC routing across six Ethereum lending venues. Custody never leaves the depositor; the replay and the losing ML tier are both published.
Counterparty risk and trust models in digital-asset infrastructure: where custody actually sits, how many participants must stay honest, and what that means for allocation. FATF/Travel Rule and KYT applied to real flows.
Vulnerability detection in smart contracts from EVM bytecode with noisy labels. Bridging TradFi risk management with DeFi security.
On-chain anomaly detection, protocol risk scoring, AMM optimization, intelligent liquidity management. DeFi as testbed for autonomous ML agents.
HSE University, Faculty of Computer Science — Moscow
Thesis: Multi-Agent AI for Smart-Contract Security
University of Nicosia — Cyprus
Ripple Scholarship
New Economic School — Moscow
Merit-based tuition grant
WorldQuant University
Certificate in Foundations of Financial Engineering, 2026
The Financial Markets Association of Russia — currency and money-market professionals.
Solo talk on multi-level smart-contract defence, Cybersecurity track, Nauchny Telegraf (2026). Panelist on the Bank of Russia key rate, ACI Russia Pro Markets (2026). Moderator of the AI for Trading panel, ACI Russia eFX & Digital Summit (2025).
Russian regulator-issued professional qualifications: FSFR series 1.0 and 5.0 (2007–2011) and National Qualification Assessment certificates in broker-dealer activity and securities portfolio management (2022).
Open to advisory roles with protocols, funds, trading desks and treasuries — and to research collaboration. Twenty years of institutional execution and treasury on one side, someone who reads the bytecode on the other. Most recently supervised Treasury and Financial Markets Operations at a top-10 Russian banking group.