
I've spent 7+ years designing and scaling mission-critical distributed systems and production-grade AI platforms. I lead engineering teams from architecture through delivery — blending deep systems expertise with hands-on AI engineering to ship products that move business metrics.
Right now I'm deep in LLM agents, RAG systems, and MLOps — the messy, interesting middle where AI meets real production traffic.
Event-driven microservices handling millions of transactions/day.
10+ production AI/LLM systems across security, DevX, and QE.
Mentors engineers, drives design reviews, sets technical direction.
Secure, cloud-native architecture across AWS, Azure, and GCP.
Faster deploys
Migrated monolith to 25+ microservices.
Lower API latency
Caching, async processing, and query tuning.
Engineering time saved / quarter
AI agents adopted across engineering teams.
Lower security MTTR
AI-driven vulnerability remediation.
Engineers mentored
Architecture leadership across cross-functional squads.
Uptime
Distributed payment & claims platforms.
Multi-agent orchestration, tool-use, and planning.
Evals, guardrails, and cost/latency optimization.
Golden paths that make the right thing the easy thing.
Using LLMs to make distributed systems self-healing.
Own architecture roadmaps and RFCs across squads.
Run internal system-design & AI workshops.
Champion quality gates and secure-by-default patterns.
Facilitate ADRs and trade-off analyses.
Balance velocity vs. reliability; low-risk, incremental rollouts.
Partner with Product, Security, SRE, and Data.
Build systems that scale.
Design systems that last.
Lead teams that grow.
Ship AI that thinks — responsibly.