I specialize in building and optimizing resilient systems infrastructure, high-throughput API integrations, and end-to-end Application Performance Monitoring (APM) telemetry. My work spans deep telemetry audits, distributed tracing across microservices, Linux systems internals, and automated benchmark evaluation.
| Domain | Technologies & Frameworks |
|---|---|
| Core Languages | Python (FastAPI, AsyncIO, PyTest, Boto3), TypeScript / JavaScript (Node.js, Express), Go, C/C++ |
| Observability & APM | OpenTelemetry, New Relic (NRQL), Datadog, Prometheus, Grafana, Distributed Tracing, Synthetics |
| Infrastructure & Cloud | Linux Internals (Debian/Ubuntu, kernel profiling, systemd), Docker, Kubernetes, AWS (EC2, EKS), Hetzner |
| Integration & Automation | RESTful APIs, Webhooks, CI/CD (GitHub Actions), Event Pipelines, Linux Shell Scripting |
- π APM & Distributed Tracing: Engineering high-fidelity telemetry pipelines, instrumenting microservices with OpenTelemetry, and eliminating false-positive alert noise across enterprise production estates.
- βοΈ Python Automation & Systems Engineering: Architecting asynchronous diagnostic tools, system metric collectors, and infrastructure deployment pipelines.
- π Cloud Infrastructure & Microservices: Designing containerized services, monitoring API latency percentiles (p95/p99), and auditing low-level Linux performance.
- cilidius_cloud: Cloud infrastructure provisioning, containerized deployment pipelines, and observability scaffolding.
- apm-telemetry-toolkit: Python & TypeScript instrumentation framework for distributed tracing, OpenTelemetry collectors, and error budget analytics.
- linux-sys-bench: Linux kernel telemetry collector, API diagnostic scripts, and automated microservices benchmarking.



