HPC Engineer building infrastructure for large-scale GPU compute clusters.
I work on the systems that run AI/ML training and inference at scale — cluster health monitoring, SLURM automation, GPU observability, Teleport SSH fleet management, and GCP infrastructure.
| Project | What it does |
|---|---|
| hpc-cluster-portal | Flask dashboard for multi-cluster SLURM + BCM health monitoring with Teleport SSH |
| gpu-fleet-monitor | GCP GPU instance dashboard with Cloud Logging (XID errors, host faults) per node |
| slurm-node-watcher | Policy-based SLURM node auto-drain daemon + standalone nvidia-smi GPU health check |
| teleport-fleet-ssh | Generate Teleport SSH ProxyCommand configs for 10k+ node fleets from YAML |
| gpu-toolkit | nvidia-smi diagnostics, Xid error watcher, GPU process mapping scripts |
| hpc-toolkit | NUMA tuning, huge pages, InfiniBand checks, CPU governors, HPC sysctl configs |
| Linux | Linux sysadmin scripts, bash aliases, Ansible playbooks |
Infrastructure: SLURM · BCM (Bright Cluster Manager) · Teleport · GCP · OCI
Languages: Python · Bash · Terraform · YAML
Observability: Grafana · Loki · Prometheus · Cloud Logging
GPU: NVIDIA H100 · B200 · GB200 · nvidia-smi · XID diagnostics
Networking: InfiniBand · RoCE · GPUDirect RDMA
- Managing GPU clusters (H100 / B200 / GB200 scale) at NVIDIA
- Building internal HPC observability tooling
- Exploring PhD research in AI/ML systems
Open to connecting on HPC, GPU infrastructure, and large-scale ML systems.