Quality Operating Models
Build QA practices from scratch that teams can run without me in the room. DoR/DoD gates, testability requirements, release governance — systems that outlast any individual.
Quality Engineering Leader
Building engineering systems that make quality inevitable — not accidental.
14+ years leading QA across Deep-Tech, FinTech, and Telecom — now designing, developing, and testing AI-native products. I build operating models, CI/CD gates, and AI-integrated workflows that outlast any individual.
Results from recent roles
~60%
Reduction in high-severity production incidents
4d → 6h
Regression cycle cut at Sensorz
~35%
Reduction in defect escape rate
99%
Requirements coverage achieved
~80%
MTTR reduction via AI-powered RCA tool
Discipline
What I actually do
Not just testing. Quality as an engineering discipline.
CI/CD Quality Gates
Design gates that balance speed with control. PR gates, smoke, regression, and coverage in GitHub Actions — reducing pre-production risk without killing velocity.
AI in Engineering — Architecture First
Not prompts. Architecture. LLM-based test generation, automated log triage, Kubernetes root-cause analysis tools. AI embedded into workflows — not bolted on top.
Release Governance
Lead release governance across distributed engineering teams. Cross-functional go/no-go decisions with Product, R&D, Hardware, and Field. Delivery predictability at scale.
Things I've built
Real pain. Real solutions.
Live product · AI co-pilot
Backstage Copilot
A real-time meeting co-pilot for live video calls. A transparent overlay listens to the conversation, detects questions aimed at you, and retrieves grounded answers from your personal knowledge base — notes, CV, product specs — in ~320ms. On-device transcription, fully local: nothing leaves the machine. Built for sales demos, interviews, and customer escalations where the right answer a second too late is the wrong answer. Works across Zoom, Meet, and Teams; access is invite-based during early rollout.
- On-device AI
- Real-time
- Privacy-first
- LLM
Live product · AI job-discovery engine
Trevo.work
An AI-powered job-discovery engine for the Israeli tech market. Scans 500+ companies daily across LinkedIn, Comeet, and Workday tenants, deduplicates across sources, and ranks roles by personal fit using CV analysis and saved searches. Production system with daily collection, Telegram alerts, BYOK support (AES-256-GCM encrypted), and a Hebrew/English RTL dashboard. Privacy-first by design: CVs are never sold or used for commercial purposes, and every new user is manually approved.
- AI Matching
- Next.js
- Claude Sonnet
- SaaS
Production tool
Kubernetes RCA Agent
After a 2-hour production incident that could have been solved in minutes: an AI agent that connects to Kubernetes clusters, pulls relevant logs, analyzes tracebacks and events, and returns an automated root-cause hypothesis. Cut MTTR by ~80%.
- Python
- AI Agents
- Kubernetes
- MCP
Internal tooling
Writing
Notes from the field
May 19, 2026
Managing Offshore QA in 2026: The Quality Operating System
Distributed QA is not a people problem — it is a systems problem. The five-pillar Quality Operating System I use to make release decisions repeatable across time zones: AI to reduce noise, CI to narrow scope, observability to prove impact, governance to keep it stable.
- Quality Engineering
- AI in Engineering
- Distributed Teams
- Release Governance
April 22, 2026
Quality is the precision of the first decision
AI is a turbo engine. It doesn't correct direction — it accelerates it. If your starting point is misaligned, AI will scale the mistake with perfect efficiency.
- AI
- Quality Engineering
- Leadership
March 14, 2026
The Living Rules File: AI governance that actually compounds
Every team using Cursor, Copilot, or Claude Code hits the same wall: new session, same mistakes. The Living Rules File converts recurring AI failures into version-controlled rules with CI enforcement.
- AI Governance
- CI/CD
- Engineering Operations
Get in touch
Let's Talk
VP R&D or CTO dealing with delivery predictability, escape rate, or quality at scale? My DM is open.