BUILDING AI PRODUCTS SINCE— Y:2017

RAMI

ZWEBTI

I’m Rami Zwebti — an ai engineer + founder converting multi-agent autonomy and high-throughput inference infra into profitable SaaS and enterprise revenue streams

SCROLL

ABOUT

My work sits at the intersection of large-scale AI systems, autonomous multi-agent architectures, and product-led growth. I design both the interfaces and the back-end pipelines that turn cutting-edge products into revenue-generating applications.

I hold a Bachelor of Science in Computer Science from Stanford. That technical foundation—combined with operator experience at NVIDIA and Apple—lets me bridge low-latency inference engineering with go-to-market strategy, shipping products that look elegant and monetize quickly.

Autonomous Agent Engineering

Full-stack execution agents for real-world UI workflows

Autonomous Agent Engineering

Full-stack execution agents for real-world UI workflows

Autonomous Agent Engineering

Full-stack execution agents for real-world UI workflows

Optimizing LLM Infra

Low-latency inference pipelines for high-throughput environments

Optimizing LLM Infra

Low-latency inference pipelines for high-throughput environments

Optimizing LLM Infra

Low-latency inference pipelines for high-throughput environments

AI Monetization

Translating advanced ML systems into scalable revenue models

AI Monetization

Translating advanced ML systems into scalable revenue models

AI Monetization

Translating advanced ML systems into scalable revenue models

PROJECTS

Manus

Humanet

Wordtune

EXPERIENCE

AI Commercialization Strategist

NVIDIA

Shipped GTM and pricing strategy for NVIDIA’s LLM stack across finance, logistics, and healthcare. Drove $60M+ in contracts from edge AI pilots. Built API monetization model for Fortune 500 clients. Productized low-latency inference pipelines on A100/H100 infrastructure.

AI Commercialization Strategist

NVIDIA

AI Commercialization Strategist

NVIDIA

AI Monetization Strategist – Vision Pro

Apple

Designed revenue tooling for Vision Pro’s AI-native features—gaze tracking, intent modeling, and adaptive content. Launched pricing systems for AI developer APIs, targeting $180M+ ARR. Led roadmap for multi-vertical rollout and internal thesis on ambient AI monetization.

AI Monetization Strategist – Vision Pro

Apple

AI Monetization Strategist – Vision Pro

Apple

$240M+

Enterprise AI revenue unlocked

$240M+

Enterprise AI revenue unlocked

$240M+

Enterprise AI revenue unlocked

Fortune 500 deployments delivered

15+

Multi-agent prototypes shipped

15+

Multi-agent prototypes shipped

15+

Multi-agent prototypes shipped

AI
MONETIZATION
SCALING
PRODUCTIZATION

AI
MONETIZATION
SCALING
PRODUCTIZATION

EDUCATION

Bachelor of Science in Computer Science

Stanford University

Graduated with a strong foundation in systems programming, machine learning, and software engineering—bridging deep technical fluency with applied product thinking.

Bachelor of Science in Computer Science

Stanford University

Graduated with a strong foundation in systems programming, machine learning, and software engineering—bridging deep technical fluency with applied product thinking.

Bachelor of Science in Computer Science

Stanford University

Graduated with a strong foundation in systems programming, machine learning, and software engineering—bridging deep technical fluency with applied product thinking.

CONTACT

Looking to start a project or you need consultation? Feel free to contact me.

Los Angeles, CA, USA

ramizwebti@gmail.com