I’m a Staff Engineer with 20+ years of experience shipping resilient, large-scale distributed systems at Amazon, VMware, and other enterprise environments — now channeling that expertise into the frontier of AI infrastructure. I specialize in cloud architecture, platform engineering, and performance-tuned Java backends.
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queue-lab— a queue-benchmark harness running one fan-out workload across swappable backends (in-memory, Redis Pub/Sub, Kafka) to find where messages get lost under slow consumers - 📖
glossaryMe— a Chrome/Firefox extension that builds a personal, on-device technical glossary as you browse, with pluggable LLM backends - 🧠 Deep diving into AI Ops, CRDTs, system design patterns, and inference-serving architectures
| Project | Description | Stack |
|---|---|---|
| Queue Lab | Fan-out queue benchmark across swappable backends (in-memory, Redis Pub/Sub, Kafka) to measure where messages are lost under slow consumers | Java |
| GlossaryMe | Browser extension that builds a personal, searchable technical glossary as you browse, using configurable LLM backends (Anthropic, OpenAI, or local Ollama) | TypeScript, JavaScript |
I believe engineering is a craft — a balance of precision, empathy, and long-term thinking. Whether designing fault-tolerant infrastructure or debugging obscure production failures, I strive to build systems that serve real people — reliably and safely.
I'm especially drawn to infrastructure that enables progress: platforms that empower teams, tools that make AI safer, and backend systems that don’t crumble under pressure. I value clear thinking, minimalism in design, and the courage to challenge assumptions.
Keywords: Java, Python, Platform Engineering, Distributed Systems, AI Infrastructure, LLM Tooling, Browser Extensions, Kafka, Redis, CRDTs, Cloud Architecture
I’m open to meaningful collaboration or advising opportunities, especially in areas intersecting platform engineering and AI infrastructure.