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kerbelp/README.md

Hi, I'm Pavel Kerbel πŸ‘‹

Principal Software Engineer & Distributed Systems Architect Specializing in high-availability enterprise infrastructure and production-grade GenAI workflows.

πŸ”— pavelkerbel.com | πŸ’Ό LinkedIn | 🐦 X


πŸ› οΈ Core Focus

  • Systems Engineering: 14+ years designing cost-optimized, fault-tolerant distributed cloud architectures (Ex-Meta, Ex-Microsoft, Palo Alto Networks).
  • GenAI Orchestration: Building deterministic, non-linear agent systems and exploring hardware-constrained local LLM optimization.

πŸš€ Featured Projects

  • Antaeus: An open-source Go engine and CLI for versioned, testable semantic policies and traceable decisions.
  • Discovery Quest: Math, English, Logic, and Space learning adventures, with an open-source course engine.
  • Context.md: A proposed standard for AI project context β€” the Repository Context Layer: one git-versioned markdown file agents consult before planning and update after executing, under human review.
  • Metatron: Engineering decisions as reviewed Markdown files in Git, consulted by coding agents. Python, tree-sitter, SQLite, and an optional MCP serving layer.
  • Gemma Guard: Native Android app leveraging a locally executed Gemma 4 E2 model for private, on-device text classification.
  • AI Collection: An open-source ecosystem and curation platform for cutting-edge AI research and tools (9,200+ GitHub stars).
  • z-mail-agent: An extensible, configuration-driven email automation framework built using LangGraph.

Research

Context Inheritance: A Git-Native Architecture and Pre-registered Study of Repository Context for AI Coding Agents β€” Pavel Kerbel, Milana Kerbel, Vitali Abramov, and Liat Abramov. AgenticDev ’26, ACM, pp. 12–20. Published October 8, 2026; presented in Munich on October 12. Paper and materials Β· Slides

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