Twenty years building backend and platform systems, the last decade leading the orgs around them. I started in fintech: real-time, low-latency trading where a millisecond mattered and a bad deploy moved money. Two decades later I took session-replay infrastructure from 250k to 50M+ sessions a day through two acquisitions at Clicktale and Contentsquare. Now I run a 40-person platform org across five countries at Evinced, where I stood up GenAI, ML, Data Infra, and DevOps from zero.

I care about ownership, reliability, and judgment. Very little about theater.

• Event-driven platforms - streaming at scale, from sub-ms trading engines to 50M+ events/day and 100+ TB/month. Kafka Spark Flink
• Cloud & infrastructure - multi-cloud, on-prem→AWS and AWS↔GCP migrations, GKE Autopilot + GitOps. AWS GCP Kubernetes Argo CD
• Applied GenAI - production, not demos. MCP-integrated agents for CI/CD triage, docs, and code review; multi-LLM workflows. RAG Agents
• Trust & compliance - FedRAMP readiness in six months, which unblocked a $10M gov pipeline. SOC2
• FinOps & efficiency - six figures of annual spend cut, velocity untouched
• Org & leadership - distributed squads across continents, sub-10% attrition through hypergrowth

• Trust first, verify by judgment - room early; I step in when ownership goes fuzzy, not before
• Bad news early - broken is manageable, hidden is a trust problem
• Argue, then execute - disagree hard before the call, ship as one after
• A high bar, zero jerks - I'll leave a role open before I lower the bar
• Decide at 80% - timebox the exploration, make the call
• Shield the team - authority to kill friction, not to show rank

The 21 Stark AI ecosystem is my lab for multi-agent code review, infra-as-code, and AI DevEx. Claude + Codex + Gemini dispatched in parallel, because three different blind spots rarely line up on the same miss. Playground tier: ships to main, no SLAs. That's the point.

• Don't bet your review on one model - three blind spots rarely line up on the same miss
• Let the bot be the bad cop - I built a bot to do the nagging, and stopped being the villain of my own team
• Measure your AI tools, don't argue about them - everyone has a loud opinion, almost nobody has the data
• Fix the org before you scale it - the first move is almost never to hire

Founder or engineering leader building hard infrastructure, data platforms, or applied AI? I'm up for a good conversation. hi@21stark.com