I'm a Staff-level Go backend engineer with 7+ years of professional experience (4+ focused on Go).
I specialize in distributed systems, in-memory databases, and high-performance services.
Currently working @ Wildberries in the WH-S AI division.

• Languages: Go (primary), Rust (exploring)
• Databases: PostgreSQL, MySQL, ClickHouse, Redis, BadgerDB, MongoDB, Tarantool
• Messaging & Streaming: Kafka, RabbitMQ
• Concurrency & Scheduling: custom frameworks (rate-envelope-queue, service-pkg, job schedulers)
• Cloud & Infra: Docker, Kubernetes, Linux (memory management, GC tuning, performance profiling)
• Architecture: microservices, leader election, CDC replication, snapshotting, custom caches

• gRPC, REST, Protocol Buffers, OpenAPI/Swagger

• PostgreSQL, MySQL, ClickHouse, Redis, BadgerDB, MongoDB, Tarantool
• Kafka, RabbitMQ
• etcd (leader election/locks), in-memory caches, snapshotting

• Kubernetes (ops), Kubernetes client-go / workqueue (rate-limiting queues, metrics)
• Internal frameworks: rate-envelope-queue, service-pkg, kernel (graceful shutdown, watchdog, schedulers)

• Docker, Linux (perf, memory/GC tuning, ulimit, noatime), Bash
• Git, GitLab Packages/CI, Makefile

• Prometheus (component-base/workqueue metrics), Grafana
• pprof, benchmarks (go test -bench), tracing/latency analysis
• Structured logging (zap), ELK stack (JSON logs)

• go test (unit/bench), race detector, mocking

• Leader election, CDC replication, backpressure, idempotency
• Drain/Stop lifecycles, graceful shutdown, retries & backoff
• Binary encodings, roaring bitmaps, memory-efficient K/V layouts

• rate-envelope-queue
  In-memory task queue & scheduler for Go with hooks, backpressure, and drain/stop lifecycle.
  Benchmarked at 3.3M ops/sec for one-shot tasks.

• service-template
  Core utilities and abstractions for Go microservices (logging, config, graceful shutdown, etc.).

• kernel
  Core framework for graceful shutdown, leader election, and initializing critical connections.

• Refactored legacy systems into scalable microservices at Wildberries.
• Designed a custom caching layer (cache) with BadgerDB for high-throughput workloads.
• Mentored engineers (junior → mid-level growth) for the last 1.5 years.
• Active in open-source: publishing frameworks and SDKs for the Go community.

• 💻 Backend engineer, passionate about performance and memory efficiency.
• 🧠 Strong focus on system design and building reliable distributed services.
• 🤝 Open to collaboration and contributions in the Go open-source ecosystem.
• 📍 Based in Bishkek.
• 📫 Reach me: agarkov.pavel.ru1@gmail.com

⭐️ Feel free to check out my pinned repositories or reach out if you want to discuss Go, distributed systems, or open-source collaboration!