Shahi Rahman
Global Head, Autonomous ML Iteration & Optimization (Ads) at Meta
Leading autonomous ML ecosystems and agentic infrastructure for Meta’s monetization engine while advising startups on AI transformation.
Intro
I'm Shahi Rahman, currently the Global Head of Autonomous ML Iteration & Optimization at Meta. My career has been a journey through the backbone of global technology—from co-designing the Wi-Fi mesh protocols used by billions to leading the 5G cloud-native transformation at Ericsson. Today, I focus on the 'Agentic Economy,' building the autonomous ML ecosystems and agentic infrastructure that power Meta's monetization engine. I am passionate about moving beyond 'AI-assisted' tools to truly 'AI-native' operations, particularly in how we handle hyperscale reliability and incident response. Beyond my work at Meta, I serve as a board advisor for companies like Join Digital and CloudlyIO, helping them navigate the transition to AI-native architectures. I’m here to connect with fellow architects and leaders who are looking to translate complex AI innovation into measurable, large-scale commercial success.
Networking
What I can offer
- ›Strategic advising for AI-native transitions
- ›Hyperscale infrastructure expertise
- ›Insights on translating AI innovation into commercial advantage
What I'm looking for
- ›expanding my professional network
- ›exploring mutual opportunities in AI, NetOps, and SecOps
Best fit for
Focus
Current interests
Core competencies
Background
Career
Transitioned from foundational networking at Cisco to startup leadership as a CTO, then to senior leadership at Ericsson for 5G/Cloud, and finally to Meta where he leads global infrastructure and autonomous ML ecosystems.
Education
MS in Electrical Engineering from Stanford University; BS in Electrical Engineering from The University of Queensland; Cybersecurity & Business Risk Management from Harvard University (HarvardX).
Achievements
- ›Launched SEVmate, a GenAI SRE system with 42% root cause accuracy.
- ›Directed observability for 100k+ GPU clusters for Llama-3/4 training.
- ›Secured $600M+ revenue for Ericsson via Virtual Router launch.
- ›Co-designed Wi-Fi mesh protocols used by billions of devices.
- ›Enabled 80%+ model templatization for Meta's monetization engine.
Opinions
- Incident response is an information retrieval and reasoning problem, not a dashboarding problem.
- Enterprises fail by treating AI as a chatbot bolted onto runbooks instead of rearchitecting the lifecycle.
- LLMs optimize for looking capable rather than being careful and lack pre-flight check instincts.
- Strong Human-in-the-Loop (HITL) is a necessary boundary for complex LLM tasks.
Personality
Communication style
Professional, authoritative, and visionary; balances strategic board-room language with deep technical architecture terminology.
Formality — 8/10
Vocabulary