Osama Badr

Senior QA & Product Ops · Meta Reality Labs · Building pointd, BIP & qa-agent

linkedin.com/in/obadr View work →
Skills
AI + Automation
AI agent development Agentic workflow design Prompt engineering Self-healing test suites LLM-assisted bug fixing
Quality + Testing
Release readiness VR/MR QA Cross-platform mobile Exploratory testing Regression QA
Engineering
Python JavaScript SQL GitHub Actions CI/CD
Product + Ops
Cross-functional leadership Release reporting Stakeholder alignment Dogfooding programs
Outside of work
Coffee making
Chasing the perfect latte art pour
Snowboarding
Chasing powder when I can find it
Keyboards
Tinkering with custom keyboards
✦ ✦ ✦
Vibe coding
Shipping things at 1am with my buddy Claude
Background
Aug 2024 — Present
Senior Product Quality Analyst
Meta · Reality Labs · Burlingame, CA
AI-Native QA transition
Manual → AI-native testing: full transition
WhatDrove the org-wide shift from fully manual offshore testing to an AI-native, automated-first QA workflow — piloting early tooling, bridging to automation, and building the UX coverage layer that closed the remaining gaps Scale6–7 months pilot to near-full adoption; 2 apps with full feature suite; daily automated runs replacing weekly manual cycles ResultOffshore team replaced by automation; weekly → daily test cadence; VP-level recognition for change-based testing methodology
01
Change-based testing agentPiloted AI agent that extracted recent diffs and surfaced relevant exploratory tests. Onboarded and coached offshore team, owned weekly VP-facing reports.
02
Manual → automated bridgeRan parallel manual and automated testing. Identified gaps between outputs, synced weekly with tooling team to inform automation changes. ~1.5 months to convergence.
03
Full automation liveAutomated test passes replaced offshore manual testing entirely. Daily runs replaced weekly cycles.
04
UX gap coverage (ongoing)Built multi-bot pipeline: review automated runs → identify UX issues → dedup against existing bugs → simulator-test net-new issues → auto-file. 2 apps, full feature suite.
Quality operations
Golden Path user journey program
WhatLed partnership with internal beta team, UXR, and Product Design to run structured user journey testing across VR features Scale2,600+ survey responses and nearly 400 bugs filed by non-QA testers in a single quarter ResultTurned internal users into structured quality signal contributors; scaled feedback beyond the QA team
VR Engagement oncall and release readiness
WhatPrimary QA oncall and release gatekeeper for the VR companion app on iOS and Android Scale490+ oncall-tagged bugs across 10+ product areas; 5+ major release signoffs; ~3 years oncall Result20% reduction in mis-triaged issues; 40% reduction in production bugs in Meta Horizon Mobile
AI agent development Agentic workflows Test automation Release readiness Cross-platform QA iOS + Android
Jul 2021 — Aug 2024
Product Quality Analyst
Meta · Reality Labs · Burlingame, CA
Coverage and scale
Multi-team QA across Meta Quest and VR companion apps
WhatTest coverage across VR Engagement, VR Regression, and RayBan Stories QA Scale2,000+ regression issues verified; 300+ launch-blocking bugs; 3,000+ test cases managed ResultFaster bug resolution ahead of key product launches; optimized verification pipelines
Major feature launch testing
WhatLed testing for Reels in VR, Home Feed redesign, VR Search refresh HowCoordinated onshore and offshore test coverage; improved issue verification pipelines for pre-launch quality gates ResultSmooth rollouts with timely issue resolution on all three launches
VR/MR testing Regression QA Launch readiness RayBan Stories Offshore coordination
Oct 2020 — Jul 2021
QA Playtester / Product Specialist
Meta · Reality Labs · Remote
Initiative
Ray-Ban Stories beta and dogfooding program
WhatDesigned and ran internal beta testing and rotational dogfooding program for the Ray-Ban Stories hardware launch Scale134 users across 5 weeks; 40+ pre-production devices; 300+ pre-launch bugs surfaced ResultImproved pre-release stability; structured feedback directly informed pre-launch product improvements
Hardware QA Beta program design Dogfooding Device management
What I'm looking for

I'm most useful at the intersection of quality, operations, and engineering — roles where the job is to make a product more reliable, a process more defensible, or a system more observable. Especially drawn to teams building complex or high-stakes software where quality is a first-class concern, not a last-minute one.

The bar at this point: somewhere that treats AI as infrastructure, not a pilot program.