Quality engineering as a discipline — not a department.

Open to my next leadership role — and not waiting around for it. Designed, built, and now operate two live AI products end-to-end: Backstage Copilot, a privacy-first, on-device real-time meeting co-pilot (~320ms answer retrieval across Zoom, Meet, and Teams); and Trevo.work, an AI job-discovery engine for the Israeli tech market that scans hundreds of companies daily across 15 sources, deduplicates roles into canonical postings, and ranks them by personal fit — wrapped in what I believe is the most complete job-seeker toolset in the market (CV analysis, a per-job ATS CV builder with DOCX/PDF export, interview prep, salary benchmarking, and a research-grounded career-fit assessment). Production systems: Next.js + Supabase Postgres, a Python collector on a 4×/day schedule, a multi-provider LLM chain (Gemini → OpenAI → Claude failover) with per-user BYOK, full RTL Hebrew/English, observability, and live billing. The same release discipline I bring to engineering teams — now applied to shipping and running products, not just governing them.

• AI Products · 0→1
• Next.js · Supabase
• Multi-LLM
• Shipped & Operated Solo

Led the QA function as a central quality-governance practice for a Deep-Tech sensing and monitoring platform serving critical infrastructure — a hands-on technical leader orchestrating cross-functional coverage across manual testing, automation, backend validation, and integration. Managed and mentored 3 QA engineers as a single, accountable delivery unit, and built a full-stack automation program from scratch as a central release-quality backbone: 300+ automated tests across critical release paths, with CI/CD quality gates in GitHub Actions governing release readiness. Owned end-to-end quality coverage for customer-facing UI, dashboards, and real-time simulations, and validated backend APIs, workflows, load, and performance — governing release risk ahead of delivery. Integrated AI-assisted workflows for failure diagnostics and coverage-gap detection — reducing manual investigation effort and accelerating defect triage. Reported to the R&D Group Manager; partnered with Engineering, Product, and DevOps to align stakeholders and coordinate cross-team release delivery.

• Deep-Tech · Critical Infrastructure
• 300+ Automated Tests
• GitHub Actions CI/CD
• AI-Assisted Diagnostics

Owned end-to-end delivery governance for an IoT & Digital Twin SaaS for Private LTE/5G monitoring (software + RF sensors), orchestrating cross-functional execution against release predictability and operational risk control as the central owner of delivery governance across hardware and software tracks. Stood up the QA function from the ground up as part of the leadership team, led and mentored the team across field validation, integration, and automation — with weekly 1:1s and execution routines that synchronized QA milestones with hardware and software cycles. Designed release governance (DoR/DoD, risk-based planning, go/no-go protocols) as the central gating framework, accelerating delivery cadence from monthly to bi-weekly and doubling delivery throughput. Cut regression cycle time from ~4 business days to ~6 hours by restructuring automation and CI pipelines, while enabling hotfix turnaround in under one hour across 100+ deployed sensors. Aligned stakeholders across R&D, Hardware, Product, DevOps, and Field Support to prioritize risks and resolve production issues — supported by weekly KPI dashboards (cycle time, escape rate, MTTR) presented to the VP of R&D and C-level for go/no-go decisions.

• IoT & Digital Twin SaaS
• Private LTE/5G
• Release Governance
• KPI Dashboards

Led the central QA process for mobile products at a high-traffic fintech platform serving 50M+ users, acting as the cross-functional bridge across squads and aligning R&D, Product, and Support on delivery quality. Matrix-managed an offshore QA chapter of 6 engineers across 3 cross-functional squads in multiple countries — using weekly 1:1s, mentoring pairs, QA syncs, and transparent delivery dashboards — with zero attrition and multiple internal promotions. Owned release readiness end-to-end (entry/exit criteria, risk-based planning, defect triage, and go/no-go checkpoints with Product and R&D), reaching 99% Xray requirements coverage and reducing production defect escape by ~35% within 8 months. Led cross-team release coordination with Development and Product, managing dependencies and checkpoints to cut release cycle time by ~20%, and rolled out BDD and DoR/DoD quality gates across squads — improving acceptance-criteria clarity and reducing sprint rework.

• 50M+ Users FinTech
• Offshore QA Chapter
• Jira/Xray
• BDD

Owned technical QA execution and release readiness end-to-end for enterprise billing systems and distributed services, orchestrating cross-functional delivery quality with a focus on API/microservices integration and performance validation in Agile delivery. Acted as the central, single point of quality accountability for key billing and client-platform areas, governing test scope, risk coverage, and release-readiness criteria. Defined and drove the API/microservices test strategy across integration correctness, data consistency, and failure isolation (Java/Spring Boot, Oracle, Kafka), and led a cross-team API investigation that contributed to a ~20% reduction in API response times across multiple releases. Drove testability improvements with engineering teams — tightening acceptance criteria and embedding TDD/BDD into the delivery process — and expanded into broader QA program leadership across LOB projects, including matrix coordination of testers across multiple product areas.

• Telecom Billing
• Java/Spring Boot · Oracle · Kafka
• API Microservices
• TDD/BDD

Enterprise Wi-Fi infrastructure validation. Performance and stability improvements via Wireshark-based protocol analysis.

• Wi-Fi
• Wireshark

Cloud-based telecom/NFV components. API and integration testing. ~20% faster release cadence.

• Telecom
• NFV
• API

End-to-end QA for the "Serenity" alert system: planning, execution, regression. Validated RF wireless sensors with cloud/mobile integration. LoadRunner-based performance testing and Jira-based defect discipline.

• Security Systems
• RF/Wireless
• LoadRunner