Distributed Systems & AI Infrastructure Engineer

I build correctness-first distributed systems—from storage engines and consensus protocols to AI orchestration platforms.

My work focuses on one question:

How can distributed systems remain correct under crashes, retries, network delays, and adversarial failures?

• VeriFlow — Kubernetes-native AI workload orchestrator with GPU-aware scheduling.
• VeriProtocol — Scheduler-aware framework for consensus experimentation and protocol evaluation.
• VeriStore — Crash-consistent storage engine with WAL, recovery, snapshots, and replication.
• LLM Serving Cache — Cache control plane for efficient LLM inference.
• SmartSearch — Fault-tolerant semantic ingestion and retrieval platform.

Kubernetes batch scheduling system. Eight merged PRs.

• #14954 — concurrent admission cleanup. Found and fixed a quota leak where variant workloads kept their reservations after a cluster queue's policy no longer applied. Backported to release-0.19 and release-0.20.
• #14997 — MultiKueue: reset the admission check when a remote workload finishes as OwnerNotFound, rather than propagating a worker-side orphan-detection race to the manager.
• #15619, #15142 — integration test infrastructure for the StatefulSet and LeaderWorkerSet integrations, including wiring the generic pod integration into a suite that had never enabled it.
• #12795 — fixed errors being logged but not propagated in the populator reconciler; cherry-picked to release-0.17.
• #14951 — config validation for qualified names.

In review: KEP-14672 — opt-in deletion of finished Job owners after a retention period. Design and implementation.

Reported: #15838 (flavor removal evicts running workloads), #16736 (a job can inherit a deleted predecessor's finished workload and escape quota management).

• #19798 — added timeout enforcement to async_snapshot, which could otherwise hang indefinitely if the raftstore never invoked the callback.

Three merged PRs to the Temporal CLI.

• Distributed Systems
• Consensus Protocols
• Storage Systems
• AI Infrastructure
• Reliability Engineering

Languages: Rust, Go, Java, C++, Python

Infrastructure: Kubernetes, Kafka, PostgreSQL, Docker

Distributed Systems: Consensus, WAL, Replication, Scheduling, Recovery

📚 Google Scholar: https://scholar.google.com/citations?user=mBIQ1-0AAAAJ&hl=en

🔗 LinkedIn: https://www.linkedin.com/in/nasitsony