Network Systems Engineer | Low-Level Developer | Infrastructure Specialist
📧 Email •
Engineer focused on building high-performance, reliable networked systems. I work close to the metal—designing protocols, optimizing I/O paths, and hardening infrastructure where latency, throughput, and correctness are non-negotiable.
Core competencies:
- Systems programming in C with POSIX/Linux APIs
- Network protocol implementation and analysis (TCP/UDP/HTTP/WebSocket)
- Event-driven architectures: epoll, kqueue, libevent, async I/O
- Observability: custom agents, Prometheus/Grafana integration
- Infrastructure automation: Docker, CI/CD, Bash tooling
C • C++ • Python • Node.js • Bash • Java
| Layer | Technologies |
|---|---|
| Transport | TCP, UDP, Raw Sockets, Socket Options, Non-blocking I/O |
| Application | HTTP/1.1–2, WebSocket, DNS, Custom binary protocols |
| Multiplexing | epoll, select, poll, kqueue, io_uring (exploratory) |
| Concurrency | pthreads, mutexes, condition variables, atomics, lock-free patterns |
| OS Internals | Signals, IPC (pipes, shared mem, sockets), daemonization, cgroups |
- Relational: PostgreSQL (query optimization, connection pooling)
- In-Memory: Redis (pub/sub, caching patterns, persistence tuning)
- Serialization: Protobuf, MessagePack, custom TLV formats
- Monitoring: Prometheus exporters, Grafana dashboards, structured logging
- Deployment: Docker, multi-stage builds, minimal base images
- Automation: GitHub Actions, Bash orchestration, idempotent provisioning
🔹 High-Performance Servers
Building from scratch: connection handling, backpressure, graceful shutdown, zero-copy techniques.
🔹 Protocol Engineering
Specification analysis, wire-format reverse-engineering, conformance testing, fuzzing.
🔹 System Reliability
Defensive coding, resource accounting, timeout strategies, circuit breakers, health checks.
🔹 Performance Diagnostics
Profiling with perf/eBPF, latency histograms, flame graphs, bottleneck isolation.
🔹 Infrastructure as Code
Reproducible environments, declarative configuration, drift detection.
Metrics reflect public activity. Production systems often live where badges don't reach.
- Clarity over cleverness — Code is read far more than it's written.
- Measure before optimizing — Intuition is a starting point, not proof.
- Fail explicitly — Silent errors are technical debt with compound interest.
- Design for observability — If you can't measure it, you can't improve it.
- Respect the stack — Abstractions are tools, not substitutes for understanding.
- Refining a minimal, zero-dependency TCP server framework in C
- Building eBPF-based network telemetry for latency attribution
- Documenting protocol state machines for team onboarding
- Exploring Rust for safe systems programming without GC overhead
Updated: March 2026 • Preferences: Unix philosophy, static linking, minimal dependencies, RFC-first design.