Hector Lopez@Rafagye
3
Events attended
2
Submissions made
Ecuador
5+ years of experience
About me
Builder focused on AI-powered autonomous systems, automation, and orchestration. Founder of InnerSpark, where I explore how intelligent agents can execute tasks, adapt to complex environments, and support real-world operations. My background combines technology, systems thinking, and practical execution. I’m currently building simulation-first, production-minded AI systems that connect decision-making, workflows, and human intention into scalable platforms.
🤓 Latest Submissions
InnerOS: Sovereign Multi-Agent IT Field Swarm
InnerOS is a sovereign enterprise multi-agent swarm designed to automate critical IT field operations and diagnostic reporting, maximizing local data privacy. Operating within the Band network layer as its collaborative communication bus, the system registers 4 specialized external agents: Router, Memory Retrieval, Analyst, and Document Maker. When an operational query is received, the Router intercepts the request and handles internal orchestration via open-source LLMs hosted serverless on Featherless AI. The Memory Retrieval agent then queries a local MongoDB MCP enterprise database to unearth historical context and technical logs without leaking raw corporate information to the internet. Next, the Technical Analyst ingests this retrieved context, using advanced reasoning models via AIML API (DeepSeek-R1) to run root-cause diagnostics and evaluate infrastructure failures. Finally, the Document Maker synthesizes the analytical insights into an enterprise-grade, production-ready Executive Summary and SOP in English, automatically triggering a live webhook notification that dispatches the finalized report directly to the administrator's WhatsApp via Evolution API. By combining decentralized network coordination with a hybrid local-inference pipeline, InnerOS proves that enterprise automation can be fast, cost-effective, compliant, and strictly sovereign. Online Link: https://sworn-profusely-alongside.ngrok-free.dev/
19 Jun 2026
VigilOS: Autonomous AI Edge Security Ecosystem
VigilOS is an enterprise-grade AI edge security ecosystem designed to transform physical access control and perimetric surveillance into a decentralized, data-driven intelligence operation. Core Pipeline & Multi-Agent Orchestration: When an event occurs, VigilOS intercepts physical feeds via a Hikvision Hardware Bridge. Raw intercom audio streams are transcribed with ultra-low latency using Speechmatics’ streaming ASR API. Simultaneously, the system extracts identity metadata and license plates via Gemini Pro's multimodal vision features. This data initializes a specialized reasoning loop driven by Claude 3.5 Sonnet and GPT-4o through the unified AI/ML API gateway. Advanced OSINT & Decentralized Node Governance: To eliminate blind spots, the system triggers autonomous background checks. Utilizing Bright Data’s Web Data Unlocker and Residential Proxy Network, VigilOS bypasses anti-bot barriers to verify records and compute a dynamic Risk Score. To guarantee tamper-proof execution, our central agent—Ralphi IA—is authenticated and published as a decentralized autonomous node on the BAND Protocol. This ensures that threat intelligence hashes and state reports remain cryptographically verifiable across external network nodes. Data-Driven Polling Architecture via Triggerware: Critical alerts are written to a secure local layer. A Cloudflare Tunnel (cloudflared) exposes a restricted REST API endpoint to the internet, removing open incoming firewall ports. Triggerware’s Engine polls this endpoint asynchronously to compute real-time deltas. Once a new risk row is detected, Triggerware automatically triggers a workflow, injecting high-priority operational tickets inside Atlassian Jira Cloud (Project: CAN) for immediate compliance auditing, with self-hosted n8n acting as an enterprise fail-safe.
31 May 2026
