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Agent-to-Agent Cloud Monitoring Framework

Senior AI Engineer2025Danya K.
Danya K.
Danya K.

Senior AI Engineer

LLM & AI Agents

Key Expertise

Multi-Agent SystemsLLM API IntegrationRAG SystemsPrompt OptimizationAgent Orchestration

Experience

13+ years

Timezone

CET (UTC +1)

Skills

AI / ML

LLM APIsPrompt optimizationCoding agentsRAGToken usage optimizationMulti-agent ArchitectureDSPy

Languages

PythonPowerShell

Databases

Vector search

Infrastructure

Deployment scripts Assisted remediation workflowsCloud watchersLocal development toolingService health checksLog ingestion & metadata enrichmentHigh-load architecture

Frameworks

OpenCode-based workflows

Integrations & Protocols

Document processingExcel automationEvent dataCRM integrationsAPI integrationsCustom provider routerAnalytics pipelines & data processingStatic code analyzers & test automation
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Overview

Agent-to-Agent service monitoring and assisted remediation workflow. A cloud watcher checks service health, reports issues, and coordinates with a coding/remediation agent that analyzes severity, prepares a report, and sends it to messenger for human approval before changes are applied.

Achievements

Automated error detection and reporting; Connected monitoring agents with remediation agents; Added messenger approval flows; Improved response speed for service issues; Kept fixes controlled through human-in-the-loop; Approval rather than uncontrolled automation;

Responsibilities

  • Designed watcher-to-coder agent orchestration
  • Implemented health checks, status reporting, and escalation logic
  • Defined safety boundaries for automated operations and provider-management layers

Technologies Used

Multi-agent ArchitectureCloud watchersLLM APIsService health checksDeployment scripts Assisted remediation workflowsPowerShell
Danya K.

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Danya K.

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