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Magaav/README.md

Victor De Genaro

Systems Engineer focused on autonomous agents, distributed systems, and production AI infrastructure.

LinkedIn: https://www.linkedin.com/in/vgenaro/
Open to remote senior roles in AI infrastructure, autonomous agents, and distributed systems.

Contributor to Hermes-Agent (NousResearch), working on real-world agent systems and orchestration layers.


What I do

I design and operate production systems combining:

  • multi-agent architectures
  • distributed infrastructure
  • real-time data pipelines
  • AI-driven automation

Focus areas:

  • orchestration of agent fleets
  • runtime isolation and deployment
  • plugin and tooling ecosystems
  • observability and reliability at scale

Selected work

  • [colmeio-marketplace-platform](private • 6+ years) Marketplace | Supply | Goods

    Built and operated the full production backbone of a real-world marketplace platform: distributed backend systems, real-time infrastructure, fiscal automation, multicloud deployment, and deterministic AI workflows.

    Core stack: Docker, NGINX, MySQL InnoDB Cluster, Redis, Kafka, Debezium, Swoole, WebSockets, Streaming Pipelines, Protobuf, MsgPack, Oracle Cloud, mail infrastructure, JavaScript.

    Focus: reliability under real business constraints, low-latency operations, and autonomous systems that survive production.

  • hermes-orchestrator

    Control plane for fleets of Hermes agents — lifecycle, isolation, plugins, logs, upgrades, and multi-tenant orchestration.

  • Hermes-Agent contributions

    Co-authored merged PRs with core maintainers, focused on agent infrastructure, orchestration, and production reliability.

  • docker-nginx-nextcloud

    Production-oriented deployment stack for self-hosted infrastructure with Docker, NGINX, Nextcloud, and iSCSI on-premise storage.


Experience

Colmeio — Cloud & Distributed Systems Architect (Private Marketplace Platform)

Built and operated a production system over 6+ years covering:

  • distributed backend systems (MySQL Cluster, Redis, Kafka, Debezium)
  • real-time infrastructure (WebSockets, streaming pipelines, Protobuf)
  • multicloud deployments (Oracle Cloud + containerized workloads)
  • internal end-to-end frameworks and automation pipelines

Key work:

  • high-concurrency backend systems using Swoole
  • event-driven architecture and streaming pipelines
  • AI-driven automation and agent orchestration
  • deterministic agent workflows with validation loops
  • highly modular frontend architecture using custom Web Components, aggressive chunking, caching, and single-frame post-calculation rendering, achieving sub-second load times and perfect Google Lighthouse scores

This experience shaped my focus on:

  • reliability over demos
  • systems under real-world constraints
  • production-grade AI integration

Current focus

  • multi-agent orchestration systems
  • AI infrastructure for real-world workflows
  • low-latency and high-throughput architectures
  • scaling autonomous systems in production

Signal

  • Contributor to Hermes-Agent (NousResearch)
  • Co-authored merged PRs with core maintainers
  • 6+ years building and operating production systems
  • Focus on infrastructure, not prototypes

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