About

I'm a lead engineer focused on making AI practical and reliable. I build the bridge between complex AI research and real-world software that people can actually use.

Khalid Hamad AlSubaie

Riyadh, Saudi Arabia

With a background in software engineering and deep experience in AI/ML, I help teams launch intelligent systems that are secure, scalable, and easy to use. I specialize in turning complex AI models into reliable tools, ensuring they perform well in production and solve real problems for users.

Experience

Lead Engineer, Application Science (Advanced Technologies Lab)

HUMAIN

Sep 2025 – Present

Riyadh, Saudi Arabia

  • ·Built and fine-tuned a Kubernetes-aware LLM converting natural-language intent into validated, executable kubectl commands, reducing operator toil and improving system safety.
  • ·Implemented a reproducible evaluation workflow for comparing AI fine-tuning variants and prompting strategies, including an A/B test harness with tracked metrics.
  • ·Technical lead for an intelligent eLearning platform, coordinating between technology, design, and user needs to deliver a seamless learning experience.
  • ·Contributed to multiple AI solution use cases for LLMs and Computer Vision, translating requirements into deployable prototypes with measurable acceptance criteria.

Lead Software Engineer (AI Lab) / Senior DevOps Engineer, Ops Team Lead

Saudi Company for Artificial Intelligence (SCAI), merged into HUMAIN

Feb 2023 – Sep 2025

Riyadh, Saudi Arabia

  • ·Managed a team of 6 to keep high-priority AI systems running smoothly around the clock, maintaining 99.9% uptime and solving issues in minutes.
  • ·Standardized how we build and release software by moving 40+ projects to a unified system, making collaboration easier across the entire organization.
  • ·Improved the speed and safety of our deployments, cutting manual work by 70% and reducing deployment time from 45 to 10 minutes.
  • ·Strengthened security posture by integrating automated scanning (SonarQube, Black Duck), reducing critical findings by 40% through gated pipelines.
  • ·Built modern 'landing zones' for AI that allowed research teams to go from setting up their environment to starting work in hours instead of days.
  • ·Led the RFP process for an Azure Enterprise Agreement, achieving ~20% annual cost reduction and optimizing licensing efficiency.
  • ·Managed Cloud Fusion ERP integration with ZATCA for automated VAT invoice generation, processing 10,000+ invoices/month and reducing manual effort by 60%.
  • ·Successfully migrated corporate email from STC to Microsoft 365 with zero downtime, ensuring business continuity.

Consulting Engineer

Digital Government Authority

May 2024 – Aug 2024

Riyadh, Saudi Arabia

  • ·Automated the deployment of 12+ projects using GitHub Actions, reducing release times from 30 minutes to just 8.
  • ·Designed and deployed a high-availability, compliant Design System platform aligned with government standards, achieving 99.9% availability.
  • ·Integrated Azure DevOps for release automation and delivered comprehensive handover documentation and runbooks for long-term maintainability.

DevOps Engineer (Azure DevOps)

Ministry of Justice (Najiz Platform)

Mar 2021 – Feb 2023

Riyadh, Saudi Arabia

  • ·Modernized the Najiz Platform by moving 50+ projects to the cloud, ensuring a more stable and scalable foundation for public services.
  • ·Managed over 120 automated pipelines that handled 40-50 successful updates every week with near-perfect reliability.
  • ·Designed CI/CD pipelines for Flutter mobile applications, enabling faster iteration cycles across 6 mobile apps with a bi-weekly release cadence.
  • ·Established a Disaster Recovery (DR) plan with automated backups and failover strategies, significantly improving platform resilience (RTO < 1h).
  • ·Reduced production defects by 30% through refined branch strategy and release management practices.

IT Operations Officer

LADUN Investment Co

Jan 2021 – Mar 2021

Riyadh, Saudi Arabia

  • ·Led the successful launch of the corporate website, coordinating with partners to deliver over 20 key features in just 10 weeks.
  • ·Streamlined internal tech support, resolving over 100 issues with a focus on speed and user satisfaction.

Education

M.S. Applied Artificial Intelligence

IU University of Applied Sciences

Expected 2026Bad Honnef, Germany

PGP in Artificial Intelligence

Texas McCombs – ePortfolio

2020Austin, USA

B.S. Software Engineering

Al Yamamah University

2018Riyadh, Saudi Arabia

Technical Skills

Languages

PythonBashYAML

AI / ML

LLM fine-tuning (QLoRA)Prompt-to-tool / command systemsA/B benchmarkingEvaluation harness designSafety & validation guardrailsAI experimentation enablement

Cloud & DevOps

AzureOracle Cloud (OCI)Azure DevOpsGitHub ActionsArgo CDTerraformDockerPodmanSonarQubeBlack Duck

MLOps / deployment

CI/CD for AI servicesGitOps releasesEnvironment promotionObservability (Azure Monitor, Application Insights, ELK)DR (backup automation, failover)

Data & backend / integrations

Microsoft ADSSOOAuthAutomation scriptingEnterprise integrations

Selected projects (samples)

Kubernetes Command Assistant LLM — QLoRA, kubectl guardrails, reproducible eval + A/B harnessAI Platform Release Automation — Azure DevOps, Argo CD, Terraform, DockerSecure Azure AI Landing Zone — Fortinet, centralized observabilityMLOps Workspace & AI/ML Studios — faster path from R&D to production

Certifications

Associate Engineer — Saudi Council of Engineers

ID: 557527

Languages

Arabic

Native

English

Professional

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