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roman-rr/README.md

Hey πŸ‘‹ I'm Roman β€” AI Solutions Architect & Full-Stack Engineer

  • πŸ€– Building multi-agent AI systems with LangGraph, LangChain, and custom orchestration frameworks
  • πŸ“‘ Creator of Trading Skills β€” AI-agentic crypto trading signals for Claude Code, Codex, Cursor & 30+ agents. Free during beta.
  • πŸ—οΈ Architecting production AI pipelines: speech-to-text, real-time email processing, RAG, vector search
  • πŸŽ“ Microsoft Certified AI Engineer Β· Multi-cloud: AWS Β· Azure Β· GCP
  • πŸ”­ Creator of Cupertino Pane β€” UI library with 1K+ GitHub stars
  • ⚑ 20+ years full-stack Β· Healthcare Β· Real Estate Β· Software Β· Web3
  • πŸ‘― Looking for high-complexity challenges β€” the kind that need an architect, not just a coder

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  1. trading-skills trading-skills Public

    17 triggers Γ— 44 algorithms Γ— 3 AI experts β€” live crypto trading signals for Claude Code, Codex, Cursor & 30+ agents. Free during beta.

    Makefile 86 11

  2. tech-systems/panes tech-systems/panes Public

    πŸŽ‰πŸ“± Create dynamic modals, cards, panes for your applications in few steps. Any framework and free.

    TypeScript 728 42

  3. focused focused Public

    A tool that helps you stay focused longer and boost your work productivity.

    C++

  4. Stop Using Vision LLMs to Read Tradi... Stop Using Vision LLMs to Read Trading Charts β€” 4 Models, 2 Vendors, 40 Real Signals: 51% Direction, 1/215 Patterns, 100% Long-Bias on Gemini
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    # Stop Using Vision LLMs to Read Trading Charts β€” 4 Models, 2 Vendors, 40 Real Signals: 51% Direction, 1/215 Patterns, 100% Long-Bias on Gemini
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    > A deep empirical audit of using frontier vision LLMs as chart-pattern experts in a production crypto signal pipeline. Tested against QuantAgent (arXiv:2509.09995), the paper repeatedly cited as proof that LLM agents can trade from candlesticks.
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    > Conducted April 2026. Every model called, every call logged, every fixture tied to a verified trade outcome. Four frontier models, two vendors (Anthropic, Google), 215 LLM calls, $1.16 total spent.
  5. Ruflo / Claude-Flow Audit: 300+ MCP ... Ruflo / Claude-Flow Audit: 300+ MCP Tools β€” 99% Theater, 1% Real, 5x Token Waste
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    # Ruflo / Claude-Flow: 300+ MCP Tools Exposed β€” 99% Theater, 1% Real, 5x Token Waste
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    > **A deep technical audit of the ruflo (@claude-flow/cli) ecosystem β€” what it claims vs what it actually does.**
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    > Investigated 2026-04-04 by spawning 8 research agents across two analysis phases, reading source code from the [ruflo GitHub repo](https://github.com/ruvnet/ruflo), tracing local process execution, and testing every major tool category hands-on.
  6. MemPalace Exposed: 42,000 Purchased ... MemPalace Exposed: 42,000 Purchased Stars, Zero Innovation β€” It's ChromaDB With a Celebrity Name
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    # MemPalace Exposed: 42,000 Purchased Stars, Zero Innovation β€” It's ChromaDB With a Celebrity Name
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    > **A deep technical audit of MemPalace (github.com/MemPalace/mempalace) β€” what it claims vs what it actually is.**
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    > Every source file read. Every benchmark traced. Every MCP tool verified. Compared against Mem0, Zep/Graphiti, and Letta/MemGPT. GitHub stargazer timestamps analyzed for bot patterns.