Software Engineer @ Google · Distributed Systems, Kubernetes & ML Infrastructure
I build and operate distributed systems, Kubernetes infrastructure, and ML/LLM serving pipelines. Previously at CloudKeeper, I built Go-based cross-region disaster recovery automation (cutting RTO from 2h to 15m), GPU inference clusters on EKS (KAI/HAMi), and production RAG systems.
Languages & Backend
Cloud, Infrastructure & Data
- Cloud-Native & AI Upstream — Active contributor across
kubernetes-sigs/kueue,kubernetes-sigs/agent-sandbox,google/adk-python,kubeflow/pipelines, andvllm-project/vllm. - FreeCAD — Contributed patches to C++ core components.
- Disaster Recovery Automation — Go automation for cross-region AWS DR provisioning (RDS, DocumentDB, AmazonMQ, ElastiCache) from snapshots with automated SSM failover.
- AWS RAG Support Engine — Retrieval-augmented ticket triage pipeline built with AWS Bedrock, OpenSearch vector search, and FastAPI.
- LiveBus — Real-time fleet telemetry and transit GPS tracking built on a 3-tier event broker architecture (Java 21, Spring Boot STOMP/WebSockets, Kotlin Coroutines, Jetpack Compose).
| Role | Organization | Period |
|---|---|---|
| Software Engineer | May 2026 – Present | |
| Software Engineer | CloudKeeper | Jan 2025 – May 2026 |
| Open Source Contributor | AfterQuery (YC) | May 2024 – Jan 2025 |
| ICPC 2024 Regionalist AIR 96 (Regionals) · AIR 333 (Qualifiers) |
LeetCode Knight Top 1% · Max Rating 2068 |
Amazon ML Summer School Selected 2023 & 2024 |
Open Source Kubernetes SIGs · ADK · vLLM · FreeCAD |