🎙️ I’m currently working on
Designing a multi-agent incident response engine that leverages LLMs to analyze logs, metrics, and traces from distributed systems. Building this with LangGraph, OpenTelemetry, and a custom vector-based correlation layer.
🧑🤝🧑 I’m looking to collaborate on
Cloud-native observability platforms, developer tooling, architectural blueprints for resilient microservices, and building systems that debug themselves.
🤝 I’m looking for help with
Scaling inference workloads in production, optimizing prompt flows in LangGraph, and improving system design patterns for trace-driven alerting.
🌱 I’m currently learning
Software architecture patterns (event-driven, CQRS, DDD), distributed tracing internals, and advanced Python for orchestrating AI agents.
💬 Ask me about
DevOps + SRE automation, VictoriaMetrics, ArgoCD, AWS EKS internals, GitOps pipelines, and real-world applications of OpenTelemetry.
⚡ Fun fact
My idea of “fun” is debugging a broken distributed system—and then automating the fix so it never breaks again.
