AI SYSTEMS · CLOUD · RELIABILITY

I build and operate production AI systems

I translate complex requirements into reliable AI and digital solutions—from architecture and implementation to production delivery.

Pixel-art mascot of Abdulmajeed: sunglasses, blue and yellow jacketRIYADH · SAUDI ARABIA

AI Systems Engineer translating business and technical requirements into reliable AI and cloud-native solutions.

I work across stakeholder-facing solution design, AI engineering, cloud and backend systems, and the production controls needed to deliver technology reliably.

See the systems behind the work
  1. 01Understand the problemClarify business and technical requirements with stakeholders.
  2. 02Architect the solutionSelect the approach, integrations, controls, and delivery path.
  3. 03Own reliable deliveryBuild, validate, deploy, observe, and improve the system.

Selected systems

LIVE

AI Growth Intelligence for Saudi E-commerce

07/2026 – Present


PRODUCT
An AI-native growth intelligence platform for Saudi e-commerce.
OWNERSHIP
Engineered a two-agent workflow for Salla merchant profiling and Saudi UGC opportunity analysis.
VALIDATION
Validated one live Arabic profile in staging at 48.2 seconds and $0.09, blocking invalid output before persistence.
SECURITY
Tested bounded Salla extraction on five public storefronts, backed by 31 passing SSRF and URL-security tests.
API
Implemented all nine v1 ingestion API operations, including four authenticated idempotent mutations, validated by 799 passing unit tests.

Validated by 799 passing unit tests

mouja.aiRepository — Private
Legacy Rokn.ai homepage capture
LearnShift homepage — AI-enabled learning platform

LearnShift

LIVE

AI-enabled learning platform with contextual tutor responses

07/2025 – Present


PRODUCT
Built LearnShift.io after running Hackergee, whose online course drew 3,500+ registrations. The platform combines course delivery, learner progress, playback, and contextual AI tutoring.
OWNERSHIP
Owned backend AI services and REST APIs for courses, users, playback, embeddings, retrieval, and LLM workflows.
ARCHITECTURE
Designed retrieval around learner progress and course state to keep AI responses grounded in selected material.
RELIABILITY
Used structured prompts, response checks, retries, and fallbacks to improve consistency.
DEPLOYMENT
Automated GitHub-based deployments through Vercel and Render.

Hackergee course: 3,500+ registrations

Rokn.ai

PAUSED

AI product builder turning ideas into scoped, buildable software

PRODUCT R&D · PAUSED


PRODUCT
Built an AI product-creation system that turns rough ideas into scoped plans, architecture, and implementation-ready outputs.
OWNERSHIP
Owned idea intake, scope clarification, structured generation, editing, and build orchestration.
ARCHITECTURE
Designed a pipeline from user intent through product definition, complexity assessment, and implementation output.
RELIABILITY
Added structured prompts, validation, retries, and workflow controls to stabilize generation.
DELIVERY
Iterated as a web product to test and refine the generation workflow.

Core flow: idea → scope → architecture → build

Rokn.ai product-building interface

Professional experience

Recent work first — spanning AI systems, digital products, consulting, and end-to-end solution delivery.

  1. Jul 2026 – Present

    AI Systems Engineer

    Mouja.ai — AI Growth Intelligence for Saudi E-commerce

    Building an AI-native growth intelligence platform for Saudi e-commerce.

    CURRENT
    • Engineered a two-agent workflow for merchant profiling and Saudi UGC opportunity analysis.
    • Implemented nine v1 ingestion API operations with authenticated, idempotent mutations, validation controls, and 799 passing unit tests.
  2. Jul 2025 – Present

    AI / Software Engineer

    LearnShift — AI-Enabled Learning Platform

    Building and operating an AI-enabled learning platform with contextual tutor interactions.

    CURRENT
    • Designed context-aware retrieval workflows using learner progress and course-content state.
    • Built backend APIs, RAG services, and automated deployments spanning courses, users, playback, and AI tutor workflows.
  3. Oct 2024 – Feb 2025

    AI Engineer

    Human Managed · Remote — Singapore

    Translated business and IT requirements into production-ready AI solutions with stakeholders.

    • Designed backend services, RAG pipelines, context management, structured prompting, and REST API integrations.
    • Improved production resiliency through validation, observability, structured logging, and traceability.
  4. Jan 2022 – Dec 2022

    Teaching Assistant

    CodeCamp · Melbourne, Australia

    Supported programming instruction in a part-time teaching role.

  5. May 2019 – Mar 2023

    Freelance

    Freelance (Self-employed) · Remote

    Delivered web development, digital product, and technology consulting engagements for individuals, startups, and businesses.

    • Owned delivery from client requirements and technology selection through solution architecture, full-stack implementation, deployment, and support.
    • Built and operated HackerGee, attracting 3,500+ course registrations and developing a professional network that led to client delivery and startup consulting opportunities.
  6. Dec 2018 – Feb 2020

    Purchasing Representative / Digital Sales Support

    Amer Alshahrani Hotel

    Supported purchasing and customer operations while introducing the company’s first online presence.

    • Enabled online inquiries for a previously paper-based business and coordinated customer requests, pricing, availability, and bookings.
    • Supported purchasing requirements, supplier communication, and quotations.
majeed@garoot.ai — ~/principles
majeed@portfolio:~$ I like ideas better when they’re real.

Four capability domains

Architecture, AI engineering, production systems, and governance foundations—organized around how reliable solutions are delivered.

  • Solution Architecture
  • Requirements Analysis
  • Cloud Architecture
  • API Integration
  • Distributed Systems
  • Resiliency
  • End-to-End System Ownership
  • Tradeoff & Failure Analysis

How the systems behave

Validation, observability, recovery, security, cost, and risk — each backed by shipped work, not claims.

  • Validation & Safeguards

    Response checks, structured prompting, and invalid output blocked before persistence.

  • Observability & Traceability

    Structured logging and traceability built into production AI services.

  • Resiliency & Failure Recovery

    Retries and fallback handling across AI workflows and integrations.

  • Security Controls

    Bounded extraction with 31 passing SSRF and URL-security tests.

  • Cost Awareness

    Cost optimization in backend work; $0.09 validated per staging profile.

  • Risk & Governance

    CRMO earned (Apr 2026). Responsible AI governance — developing; AIGP in preparation.

Education & credentials

Earned qualifications, current professional development, and planned certifications — clearly distinguished.

EDUCATION

Master of Data Science (Professional)Deakin University · Melbourne, Australia · Sep 2025GPA equivalent: 3.75/4.00
Bachelor of Computer ScienceUniversity of Victoria (Canada) · 2019

EARNED CERTIFICATIONS

Microsoft Azure AI-900 — Azure AI FundamentalsMicrosoft Azure · May 2024EARNED
Certified Risk Management Officer — CRMOApr 2026EARNED

PROFESSIONAL DEVELOPMENT

Modern Software Engineering & AI Systems BootcampTuwaiq Academy · Jul–Sep 2026IN PROGRESS
MISK Launchpad 8.0MISK & 2080 Ventures · Jul–Sep 2025COMPLETED
Full-Stack Web Development BootcampCoding Dojo · May–Jul 2021COMPLETED

CERTIFICATIONS IN PREPARATION

Stories in motion

Visual storytelling through motion, culture, and technical explanation.

Open to solution engineering and AI systems work.

Abdulmajeed Garoot · Riyadh, Saudi Arabia

garoot.ai · Arabic — Native · English — Professional proficiency (IELTS Academic 6.5) · Saudi National · +966 59 912 3218