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.
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
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[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.
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Control plane for fleets of Hermes agents — lifecycle, isolation, plugins, logs, upgrades, and multi-tenant orchestration.
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Co-authored merged PRs with core maintainers, focused on agent infrastructure, orchestration, and production reliability.
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Production-oriented deployment stack for self-hosted infrastructure with Docker, NGINX, Nextcloud, and iSCSI on-premise storage.
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
- multi-agent orchestration systems
- AI infrastructure for real-world workflows
- low-latency and high-throughput architectures
- scaling autonomous systems in production
- Contributor to Hermes-Agent (NousResearch)
- Co-authored merged PRs with core maintainers
- 6+ years building and operating production systems
- Focus on infrastructure, not prototypes
