I’m a Senior Software Engineer and Tech Lead 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.
- 🤖 Building tools to track, log, and evaluate LLM prompts (
prompt-tracker-lite, OpenAI Slackbot) - 📚 Writing a blog series on distributed system design, Kafka pipelines, and region failover strategies
- 🧠 Deep diving into AI Ops, CRDTs, system design patterns, and inference-serving architectures
| Project | Description | Stack |
|---|---|---|
| Prompt Tracker Lite (WIP) | Lightweight tool to track, log, and evaluate LLM prompt workflows | Flask, SQLite, JavaScript |
| Jetson Garage AI (WIP) | Smart garage safety camera using NVIDIA Jetson and edge ML | Python, Edge ML |
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, Prompt Engineering, Kafka, CRDTs, Jetson, Edge ML, Cloud Architecture
I’m open to meaningful collaboration or advising opportunities, especially in areas intersecting platform engineering and AI infrastructure.