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Михаил Синько

@0002751

DeFi researcher and blockchain developer focused on on-chain analytics and institutional-grade crypto research.

Russian Federation
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What I'm looking for

I’m looking for a team that values institutional-grade DeFi research and real on-chain engineering. I want to build monitoring, analytics, and algorithmic trading workflows using rigorous risk metrics and fast feedback loops.

I’m a self-taught blockchain researcher and Python developer with 3+ years of practical cryptocurrency trading experience. I combine deep expertise in DeFi protocol mechanics with on-chain analytics and algorithmic trading tools.

I’ve built and deployed multiple real-world crypto monitoring systems, including real-time WebSocket-based alerts and exchange listing detectors. I design alerting logic with practical thresholds and delivery through Telegram to keep the workflow fast and actionable.

On the research side, I produce institutional-grade protocol analysis and valuation-style comparisons. My work includes DeFi research on Aave V3/V4—covering architecture, market position, and risk/return framing, backed by on-chain data and clear reporting.

I’m passionate about institutional-grade research and decentralized finance infrastructure. I stay continuously hands-on—studying DeFi, blockchain architecture, and quantitative finance—so my decisions reflect both practitioner experience and rigorous methodology.

Experience

Work history, roles, and key accomplishments

MS

DeFi Researcher & Developer

Mikhail Sinko

Built and deployed real-time DeFi monitoring and alerting bots, including an OKX WebSocket price tracker covering 100+ tokens with a three-tier 5%/15%/50% alert system and Telegram deployment for cases with $50K+ 24h volume. Conducted institutional-grade Aave V3/V4 analysis ($75B peak TVL, $141.8M revenue in 2025) and backtested an SMA BTC strategy over 100 days with 10% capital allocation per tra

Education

Degrees, certifications, and relevant coursework

SC

Saint Petersburg Technical College

Automated Control Systems

2024 -

Studying Automated Control Systems at Saint Petersburg Technical College (2024–present), alongside self-directed work in DeFi, blockchain architecture, quantitative finance, and macroeconomics.

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