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Achievement: Galaxy BrainAchievement: Pull Sharkx3Achievement: Pair Extraordinairex4Achievement: YOLOAchievement: Quickdraw

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KeepALifeUS/README.md

Vladyslav Shapovalov

AI Systems Architect • Multi-Agent Systems • Reverse Engineering • Deep RL

LinkedIn GitHub

Building AI-powered field service management at Exoserva

Featured Projects

Project What It Does Tech
autonomous-agents 4 AI agents collaborate like ant colonies via stigmergy Claude API, Python
ml-showcase 27 production ML modules: RL, trading, NLP, core infra PyTorch, Python
sfs2x-py Pure-Python SmartFoxServer 2X protocol implementation Python, Reverse Engineering
hive Open-source security platform — VirusTotal integration Go, Security

What I Build

Multi-Agent Systems    →  Stigmergy-based coordination (80% token reduction vs orchestrators)
Protocol Engineering   →  Binary protocol reversing, game server analysis
Deep RL Pipelines      →  PPO, Rainbow DQN, Hierarchical RL, Meta-Learning
ML for Trading         →  Order flow detection, volatility forecasting, sentiment analysis

Tech Stack

Python Go PyTorch Claude Docker

Core platform repos are private — commercial product in active development.

Pinned Loading

  1. autonomous-agents autonomous-agents Public

    Production multi-agent system: 4 AI agents coordinate via stigmergy. Claude API. 80% token reduction.

    10 2

  2. hive hive Public

    Forked from aden-hive/hive

    Outcome driven agent development framework that evolves

    Python

  3. ml-showcase ml-showcase Public

    Production ML systems for crypto trading: RL agents, quantitative analysis, NLP sentiment, and core infrastructure — 27 modules

    Python

  4. sfs2x-py sfs2x-py Public

    SmartFoxServer 2X binary protocol implementation for Python

    Python