Abdulmajeed GarootAI Systems Engineer (Risk-Aware Systems)
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01

About Me

AI engineering, backend systems, and reliable LLM workflows

I’m Majeed — an AI Engineer focused on backend services, LLM workflows, RAG pipelines, and reliable AI features.

I build backend services and AI-powered workflows that connect LLMs with real product features. My work includes retrieval-augmented generation, embeddings, structured prompts, API integration, and response validation for AI systems.

I focus on making AI features more reliable through clear context handling, retries, fallback logic, cost awareness, and human review where needed.

My background combines Computer Science, Data Science, backend engineering, and hands-on AI project work across chatbot systems, learning platforms, and multi-step LLM workflows.

Formal Education

Master of Data ScienceDeakin University (Australia) · 2025Deakin University
Bachelor of Computer ScienceUniversity of Victoria (Canada) · 2019University of Victoria

Professional Training & Certifications

Microsoft Azure AI-900 — Azure AI FundamentalsMicrosoft Azure · May 2024Microsoft Azure
Certified Risk Management Officer — CRMOApr 2026CRMO
MISK Launchpad 8.0 — Product & Technology ProgramMISK Foundation × 2080 Ventures · Aug 2025MISK Foundation & 2080 Ventures
Full-Stack Software DevelopmentCoding Dojo · Jul 2021Coding Dojo
02

Timeline

Education and experience over time

EducationExperience

01/2013 – 05/2019

Bachelor of Computer Science

University of Victoria

12/2018 – 02/2020

Purchasing Representative / Digital Sales Support

Amer Alshahrani Hotel

05/2021 – 07/2021

Full-stack Web Development Bootcamp

CodingDojo

03/2023 – 09/2025

MSc Data Science

Deakin University

05/2024 – 05/2024

Azure AI-900 Certification

Microsoft

10/2024 – 02/2025

AI Engineer Intern – LLM Chatbot Systems

Human Managed

07/2025 – Present

AI / Software Engineer

LearnShift – AI-Enabled Learning Platform

07/2025 – 09/2025

MISK Launchpad 8.0

MISK & 2080 Ventures

11/2025 – Present

AI / Systems Engineer

Rokn – AI System Automation Platform

04/2026 – 04/2026

CRMO – Certified Risk Management Officer

CRMO
03

Skills

AI engineering, backend systems, and production reliability

  • Multi-Stage LLM Pipelines
  • Retrieval-Augmented Generation (RAG)
  • Prompt Evaluation & Validation
  • Embedding Storage & Retrieval
  • Latency & Cost Optimization

Skills

AI engineering, backend systems, and production reliability

AI Systems & Data Pipelines

  • Multi-Stage LLM Pipelines
  • Retrieval-Augmented Generation (RAG)
  • Prompt Evaluation & Validation
  • Embedding Storage & Retrieval
  • Latency & Cost Optimization

Backend & Distributed Systems

  • Node.js
  • API Design (Low-Latency & Scalable)
  • Authentication & Authorization
  • Async Processing & Queues
  • Concurrency & Idempotency Control

Reliability, Risk & Control Systems

  • Operational Risk Management
  • AI Output Validation & Safeguards
  • Failure Handling & Retry Logic
  • System Reliability & Stability
  • Auditability & Traceability

Systems & Execution

  • End-to-End System Ownership
  • Technical Decision-Making
  • Tradeoff & Failure Analysis
  • Operating Under Ambiguity
  • Execution Under Constraints
04

Work

Systems I’ve designed, shipped, and evolved

LearnShift preview

LearnShift

AI-enabled learning platform with contextual tutor responses

Built an AI-enabled learning platform that supports course content, user progress, course playback, and AI tutor interactions.

Rokn preview

Rokn

Multi-step LLM workflow system with validation and control checkpoints

Built an AI system automation project focused on multi-step LLM workflows, state tracking, and controlled task execution.