Hasan Yousef · Applied AI engineer

I turn real workflows into AI systems people use.

I build LLM applications, automation, personalization systems, and the production software around them. My work spans technical delivery, user discovery, deployment, and adoption.

See experience Connect on LinkedIn

How I work

01 Understand the workflow Users, constraints, and useful outcomes

02 Build the system AI, data, APIs, and product software

03 Deploy and learn Reliability, feedback, and adoption

Scale and adoption

44,000+users reached organically through Kitab

24,000+questions answered by Kitab's AI assistant

70+instructors using a deployed AI assistant

950+personalized offers supported in production

Experience and ventures

Full-time engineering work, a founder-led platform, and a paid AI deployment delivered through Kitab.

Obscure Games

Full-time role · Software Engineer · 2021–Present

AI systems inside a live product environment

Built across engineering automation, player behavior, experimentation, and cloud operations for a live mobile product. The work required reliable systems that fit existing team workflows and production constraints.

Built

LLM-assisted CI/CD automation, reinforcement-learning agents, behavioral personalization, and A/B testing infrastructure.

Evidence

A personalization engine supporting 950+ offer variants and AI agents trained on real player movement data.

Python · TypeScript · C# · PyTorch · AWS · Azure · GCP · Docker · Kubernetes

Kitab Smart Assistant

Founder-led venture · Part-time · 2020–Present

Giving students useful answers from fragmented education data

Designed and deployed an Arabic-language AI advising experience grounded in a custom knowledge base, helping students explore higher-education options with answers tied to relevant program information.

Student question Knowledge retrieval Grounded answer

Knowledge base

35 colleges and more than 250 academic programs.

Adoption

More than 24,000 student questions answered.

OpenAI · RAG · Vector databases · Node.js · PostgreSQL · AWS

Rowad partnership

Paid client engagement · Delivered through Kitab

Turning an operational need into an adopted AI tool

Worked directly with the client to understand instructors' daily work, translate that workflow into a practical AI assistant, and refine the solution through biweekly reviews over a two-year paid engagement.

Users

Used by 70+ instructors across 60 city branches.

Role

Discovery, solution design, implementation, delivery, and ongoing iteration.

Client discovery · LLM application · Workflow design · Iterative delivery

What I bring

Engineering depth with the ability to work across product, users, and implementation.

Applied AI

LLM applications, RAG, agents, evaluation, automation, PyTorch, and reinforcement learning.

Production engineering

APIs, cloud services, data systems, CI/CD, observability, experimentation, and reliable delivery.

Forward deployment

User discovery, requirements translation, client collaboration, adoption, and iteration around real workflows.

About

I'm a software engineer and the Founder & Project Lead of Kitab. I hold a B.Sc. in Computer Science.

Current education MBA Candidate, Innovation & Entrepreneurship

Coller School of Management

I'm interested in roles where engineering happens close to the problem: Applied AI, Forward Deployed Engineering, AI solutions, and research engineering.

Public resume