Abdulmajeed GarootAI Systems Engineer (Risk-Aware Systems)
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01

About Me

Building production AI systems, not demos

I’m Majeed — an AI systems engineer focused on building reliable, controlled systems for real-world execution.

I design and operate production-grade software systems that integrate AI into real products. My work focuses on backend architecture, multi-stage AI pipelines, and controlled execution workflows, including retrieval-augmented generation, async processing, and cost-aware inference.

I specialize in building systems that behave reliably under uncertainty - implementing validation layers, retry logic, and execution controls to ensure stability, traceability, and consistent outcomes in production environments.

My experience comes from building end-to-end in ambiguous environments, where system design, failure handling, and architectural decisions directly impact real-world performance.

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
MISK Launchpad 8.0 — Startup & Product Builder ProgramMISK Foundation × 2080 Ventures · Aug 2025MISK Foundation & 2080 Ventures
Full-Stack Software DevelopmentCoding Dojo · Jul 2021Coding Dojo
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02

Timeline

Education and experience over time

EducationExperience

09/2015 – 05/2019

Bachelor of Computer Science

University of Victoria

08/2020 – 01/2022

Founder

HackerGee (EdTech Platform)

07/2021 – 07/2021

Full-stack Web Development Bootcamp

CodingDojo

11/2022 – 11/2022

MISK Entrepreneurship (SPARK)

MISK

03/2023 – 07/2025

MSc Data Science

Deakin University

05/2024 – 05/2024

Azure AI-900 Certification

Microsoft

10/2024 – 02/2025

AI / Systems Engineer

Human Managed

07/2025 – Present

AI / Software Engineer

LearnShift (AI-Native Learning Platform)

08/2025 – 08/2025

MISK Launchpad 8.0

MISK & 2080 Ventures

11/2025 – Present

AI / Systems Engineer

Rokn (AI-System Automation Platform)

04/2026 – Present

CRMO – Certified Risk Management Officer

CRMO
03

Skills

Depth in systems, clarity in tradeoffs, focus on production

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

Skills

Depth in systems, clarity in tradeoffs, focus on production

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

Human-in-the-Loop judgement training for AI-era technical work

AI tools accelerate output but erode junior judgement, accountability, and employability.

MalakPhoto preview

MalakPhoto

Client-facing photo delivery system for professional photographers

Photographers manually curate and deliver hundreds of images with poor client feedback loops.