
Adnan Kabbani
@adnankabbani
I build applied AI SaaS products from idea to paying customers.
What I'm looking for
At EZY.AI, I built an AI-powered Answer Engine Optimization platform from the first commit as the sole engineer, taking it from an empty repository to paying customers.
I architected and shipped its multi-service SaaS across React, TypeScript, Node.js, PostgreSQL, Redis, a web indexer, and Temporal workers, serving 200+ concurrent users. I also built a 12-widget AI analysis engine, an AI assistant with 17+ domain-aware tools, and citation tracking across roughly 3,000 weekly queries.
Previously, I built a production backend and behavioral scoring engine at Krypteia, including ML-driven drift detection, live-market agentic chat, and an asynchronous data layer. At xCell-On, I developed an LLM-powered Excel add-in for finance teams using RAG, tool calling, and the OpenAI API.
I enjoy owning products end to end: defining requirements, choosing architecture, building frontend and backend systems, integrating AI, and learning from real-world usage. I’m most effective alongside founders and customers in ambitious early-stage, remote-first teams.
Experience
Work history, roles, and key accomplishments
Built EZY.AI, an AI-powered Answer Engine Optimization platform, from the first commit as the sole engineer.
Architected and shipped a multi-service SaaS (React 18 + TypeScript SSR, Node.js/Express, PostgreSQL, Redis) across frontend, backend API, web indexer, and Temporal workers, serving 200+ concurrent users.
Built a 12-widget AI analysis engine and an AI assistant on the OpenAI Agents SDK w
Built the production backend on FastAPI, PostgreSQL, Redis, and Docker with a microservices-ready architecture.
Developed a multi-dimensional behavioral scoring engine with ML-driven drift detection and real-time trader guardrails.
Agentic chat in live market data and news feeds; engineered a 25+ table async data layer with Celery workers; 90%+ test coverage with pytest.
https://apps.apple.com
LLM-powered Excel automation for finance teams.
Built an Excel add-in on the Office JavaScript API automating complex spreadsheet workflows.
Integrated LLM-powered dynamic script generation via the OpenAI API; designed the full agent flow with RAG and tool calling.
Deployed and maintained the stack on AWS with Lambda, CodePipeline, and Cognito.
Built and maintained web applications; designed RESTful APIs and third-party integrations; improved performance through refactoring and monitoring.
Worked as Back End Developer Intern at BLOM BANK s.a.l..
Worked as Computer Center Administrator at Lebanese American University.
Education
Degrees, certifications, and relevant coursework
Lebanese American University
Bachelor of Science - BS, Computer Science
2022 - 2025
DeepLearning.AI, Stanford University
Supervised Machine Learning: Regression and Classification
Issued Jul 2024
Foundations: Data, Data, Everywhere
Issued Apr 2024
Tech stack
Software and tools used professionally
Google Cloud Platform
Amazon S3
Spring Cloud
AWS CodePipeline
Spring Data
PostgreSQL
Node.js
Spring Boot
Spring
Spring Framework
Unity
Google Search Console
Redis
AWS CloudFormation
React
Python
Celery
ExpressJS
FastAPI
Stripe
Spring Security
AWS Lambda
Microsoft Excel
TypeScript
pytest
Amazon Cognito
Docker
Temporal
Cloudflare Workers
OpenAI API
Availability
Location
Authorized to work in
Website
adnankabbani.devPortfolio
adnankabbani.devSalary expectations
Social media
Skills
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