Building practical AI-powered solutions

Building useful AI into real products

Anas SafiFull-Stack Developer & AI Solutions Lead

I design secure digital products and integrate practical artificial intelligence to improve how teams work, make decisions, and deliver value.

10+years building software
AmmanJordan · working internationally
AI + productsolutions that raise productivity

Profile

Technology built around meaningful improvement

I combine more than a decade of full-stack delivery with technical leadership and practical AI integration.

I start with the product or operational problem, identify where artificial intelligence can remove friction or strengthen decisions, then build the application, data, and delivery path needed to make that improvement dependable.

AI solutions

Practical intelligence for products and operations

Focused applications of AI that improve existing products, streamline work, and help teams produce more with clearer decisions.

01

AI inside digital products

Design and integrate useful AI features into web and mobile products, from intelligent assistance and personalisation to content and data workflows.

Value

A better product experience without sacrificing reliability, privacy, or maintainability.

02

Workflow automation

Connect AI with business rules, internal tools, and trusted data to reduce repetitive work and support faster execution.

Value

More time for high-value work and fewer manual handoffs across the process.

03

Knowledge and decision support

Create secure systems that retrieve, organise, and explain relevant information so people can act with better context.

Value

Clearer access to organisational knowledge and more consistent decisions.

Core expertise

From opportunity to production

One technical partner across product thinking, architecture, AI integration, delivery, and team direction.

01

Applied AI

Identify high-value AI opportunities, design safe workflows, and integrate models into dependable product experiences.

02

Solution architecture

Shape secure, scalable systems and clear boundaries across applications, services, data, and infrastructure.

03

Product engineering

Turn ambiguous needs into focused web and mobile experiences that are accessible, fast, and maintainable.

04

Technical leadership

Architecture direction, code review, mentoring, delivery planning, and calm ownership of difficult technical choices.

Technology stack

Tools chosen to serve the product

A production-oriented toolkit for AI-enabled products, full-stack platforms, data, and reliable delivery.

AI & intelligence

  • OpenAI API
  • LLM workflows
  • RAG
  • AI automation

Product interfaces

  • Next.js
  • React
  • TypeScript
  • Tailwind CSS
  • React Native
  • Flutter

Backend & identity

  • Laravel
  • Node.js
  • Spring Boot
  • REST APIs
  • Keycloak

Data & delivery

  • PostgreSQL
  • Prisma
  • MySQL
  • Docker
  • Nginx
  • GitHub Actions

Experience

Professional experience

Experience spans web and mobile products, architecture, technical leadership, and the practical integration of AI into products and work.

  1. TODO_CONTENT — date rangeIndependent practice

    Full-Stack Developer & Technical Solutions Lead

    Designing and delivering production software while helping organisations identify and implement practical AI improvements.

    • Build end-to-end web and mobile solutions from product discovery through secure production delivery.
    • Integrate AI capabilities into existing products and workflows with attention to data, privacy, and operational fit.
    • Defined maintainable application, data, integration, and deployment architectures.
  2. TODO_CONTENT — date rangeTODO_CONTENT — verified employer names

    Technical Lead & Full-Stack Developer

    Leading engineering work across complex platforms while keeping teams focused on reliable outcomes and continuous improvement.

    • Built and evolved service platforms with complex roles, workflows, and operational requirements.
    • Translated stakeholder needs into technical plans and coordinated implementation across disciplines.
    • Improved reliability through disciplined releases, observability, and production ownership.

Collaboration

Make AI useful inside the work you already do

Engagements can start with one valuable opportunity or cover the complete technical path from strategy to production.

01

AI opportunity discovery

Map product and operational workflows, identify valuable use cases, assess constraints, and define a practical implementation path.

02

AI product integration

Build the application, data, and model workflow needed to add dependable AI capabilities to an existing or new product.

03

Technical direction

Add hands-on architecture, review, mentoring, and delivery leadership where the team needs senior technical judgement.

Foundation

Education & continuous learning

2010 — 2014

Bachelor of Science in Computer Science

Al-Quds University

Certifications

TODO_CONTENT — add only verified certifications and issuing organisations.

Languages

Communication across contexts

ArabicNative
EnglishProfessional working proficiency

Contact

Have a product or workflow that AI could improve?

Let’s examine the real problem, decide where intelligence adds value, and build a secure solution that helps people work better.

Based in
Amman, Jordan
Contact
TODO_CONTENT — verified professional email