I build systems by understanding how they actually execute — CPU scheduling, memory allocation, network flow, and failure behavior.
My focus is not just application logic, but the full execution path:
Request → Kernel → Runtime → Application → Data → Response
I work primarily with Go for backend systems, designing services that remain stable under real load, not just ideal conditions.
- Runtime performance and latency reduction
- Memory usage, allocation patterns, and GC behavior
- Caching layers and data locality
- Distributed system failure modes
- Concurrency and workload distribution
- Infrastructure-aware application design
- Observability and production debugging
- Throughput vs resource utilization trade-offs
- Go services and concurrency model (goroutines, scheduling)
- API design (REST, gRPC, WebSockets)
- High-throughput and low-latency service design
- Event-driven and async architectures
- HTTP lifecycle and connection management
- Reverse proxy and load balancing
- Service-to-service communication
- Backpressure, retries, and timeouts
- PostgreSQL query planning, indexing, and optimization
- Redis caching strategies and eviction policies
- Connection pooling and latency control
- Consistency vs performance trade-offs
- Docker containerization
- Linux-based deployments and process lifecycle
- Resource constraints (CPU, memory, file descriptors)
- Scaling strategies and system limits
- Structured logging
- Metrics and latency analysis
- Memory and performance profiling
- Production debugging under load
- LLM-based agents and tool calling
- MCP-style integrations and workflow automation
- AI systems embedded into backend services
- Reliability and observability for AI pipelines
- Distributed systems under real load
- Backend services with controlled concurrency
- Multi-service architectures
- Infrastructure-aware SaaS systems
- Performance-sensitive APIs
- Failure simulation and resilience testing environments
- Distributed systems behavior under load
- CPU cache awareness and memory locality
- Kernel-level data flow (epoll, sockets, buffers)
- Message queues and async pipelines
- Failure injection and resilience engineering
- AI systems integrated with backend infrastructure
Email: hamidlabshq@gmail.com
GitHub: https://github.com/hamidlabs
LinkedIn: https://www.linkedin.com/in/hamidlabs
X: https://x.com/hamidlabs