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Yosef-levy/README.md

Hi, I'm Yosef Levy 👋

AI Systems & Software Engineer building reliable, production-grade AI systems.

I'm interested in the intersection of Agentic AI, AI infrastructure, software architecture, developer tooling, and AI reliability—designing systems that make AI applications more scalable, reproducible, and trustworthy.


🚀 Featured Project

🌳 Colcoor

AI Conversation Orchestration Platform

Colcoor is an event-driven platform for orchestrating AI-assisted research and software development. Instead of storing conversations as linear chats, it represents them as deterministic event tree, enabling structured exploration, reproducible reasoning, collaborative workflows, and efficient context management.

Highlights

  • Deterministic conversation tree
  • AI workflow orchestration
  • Collaborative AI research
  • Branching conversations
  • Context engineering
  • Model Context Protocol (MCP)
  • Production backend with FastAPI & PostgreSQL

Repository

https://github.com/Yosef-levy/colcoor


🧪 Open Source

Qualifire Rogue

Designed and implemented Rogue Resilience, a proposed extension for benchmarking resilience of multi-agent AI systems against internal rogue or malfunctioning agents.

The proposal introduces:

  • Fault injection strategies
  • Detection & containment metrics
  • Recovery benchmarking
  • Multi-agent resilience evaluation
  • AI chaos engineering concepts
  • Architecture-aware resilience testing

Pull Request

qualifire-dev/rogue#174


💡 Current Interests

  • Agentic AI
  • Multi-Agent Systems
  • Context Engineering
  • AI Reliability
  • AI Evaluation
  • AI Infrastructure
  • Developer Tools
  • Distributed Systems
  • Software Architecture

🛠 Tech Stack

Languages

Python • C++ • Java • TypeScript

AI

LLM APIs • MCP • LangGraph • PyTorch • Machine Learning

Backend

FastAPI • PostgreSQL • SQLite • Docker • Linux

Infrastructure

Git • GitHub Actions • GCP • Distributed Systems


🌱 Currently Exploring

  • Reliable agent architectures
  • AI resilience benchmarking
  • Context-aware orchestration
  • Agent observability
  • Evaluation frameworks for production AI

📫 Contact


I enjoy building systems that make AI more reliable, explainable, and useful for real-world engineering.

Pinned Loading

  1. colcoor colcoor Public

    Cursor extension for structured conversation

    TypeScript 6

  2. ACA ACA Public

    Autonomy Composition Abstraction: a machine-readable charter format for defining authority, obligations, constraints, and escalation paths in multi-agent systems

    Python 5