Principal Software Engineer at Microsoft. Previously architected Tier-1 real-time ML platforms handling petabytes of data and millions of QPS at Amazon. Homelab enthusiast running Kubernetes clusters, smart home automation, and enterprise-grade infrastructure.
Principal Software Engineer at Microsoft, bringing 8 years of experience at Amazon architecting Tier-1 real-time ML platforms handling petabytes of data & millions of QPS with 99.99% availability. Organizational leader driving cross-company innovation by influencing strategic technology roadmaps to unlock new capabilities and 60% cost reductions.
Passionate about AI automation, distributed systems, and delivering high-impact solutions with strong ownership and engineering excellence. Outside of work, I run an extensive homelab featuring Kubernetes clusters, NVR systems, and smart home automation.
Enterprise-grade infrastructure running at home
Highly available K8s cluster on Proxmox with 3 masters + 3 workers. Infrastructure as Code with Terraform, Ceph for distributed storage.
AI-powered network video recorder with object detection. Hardware acceleration via Coral TPU and NVIDIA RTX 3070.
Complete smart home automation hub integrating lights, sensors, cameras, and climate control with custom automations.
Enterprise-grade NAS with ZFS for data integrity. 10GbE networking with VLAN segmentation for performance and security.
Network edge security with multi-VLAN routing, WoL support, and IDS/IPS. Migrated from pfSense for improved features.
Nginx Proxy Manager for internal service routing with SSL termination. Cloudflared tunnels for secure external access without exposing ports.
Java, Python, TypeScript, SQL, Shell
AWS, Azure, Kubernetes, Docker, Flink, Git
LLM, RAG, MCP, Spark, Hadoop, EMR
Serverless, Microservices, Event-Driven, Caching
B.S. Computer Engineering, double major in B.S. Computer Sciences
Intensive Studies In Computer Science Certificate