argakiig
systems engineer • performance-critical infrastructure • production from day one
i design and operate distributed systems where correctness, throughput, and cost all matter — schedulers, data pipelines, and the infrastructure underneath them.
lately i've been working at the intersection of high-performance compute and agent-assisted engineering — using ai tooling as a force multiplier on real production systems, not as a demo.
- distributed schedulers and workers handling complex dependency graphs at scale
- realtime and historical data pipelines with strict latency and ordering guarantees
- cloud infrastructure, kubernetes, and infrastructure as code for small teams
- performance work across cpu and gpu — sieves, parallel pipelines, throughput tuning
- observability and reliability engineering: backpressure, deduplication, recovery
- blockchain and layer 2 infrastructure — node operation, transaction pool tuning
- financial and market data processing with strict chronological guarantees
- database-level deduplication and upsert patterns for high-volume ingest
- orchestration migrations from fire-and-forget to long-lived batched workers
- gpu rental fleet orchestration and cost-optimized batch compute
- local-first ai tooling, coding agents, and headless sdk integrations
- technical documentation, style guides, and reusable agent skills