im.dev

About

Lead engineer transitioning deeper into Engineering + Applied AI, combining hands‐on LLM/CV prototyping with strong platform delivery. Build secure, scalable environments for AI products (Azure/OCI, Kubernetes, CI/CD, GitOps, monitoring) and drive measurable improvements in SDLC, reliability, and deployment outcomes.

Khalid Hamad Alsubaie

Experience

Lead Engineer, Application Science

HUMAIN

Sep 2025 – Present

Riyadh, Saudi Arabia

  • ·Built and fine‐tuned a Kubernetes‐aware LLM converting natural‐language intent into validated kubectl commands; applied QLoRA fine‐tuning and safety controls (syntax validation, allowlist/denylist rules) to reduce invalid or risky outputs (1,966‐case evaluation suite).
  • ·mplemented a reproducible evaluation workflow for comparing fine‐tuning variants and prompting strategies, including an A/B test harness with tracked metrics (success rate, safety rate, latency distributions p50/p95).
  • ·Contributed across multiple AI solution use cases for LLMs and computer vision, translating requirements into deployable prototypes with measurable acceptance criteria (~10 stakeholder demos shipped).
  • ·Implementing and developing an agent‐based eLearning platform as technical lead, overseeing architecture, delivery, and cross‐functional coordination.

Lead Software Engineer

Saudi Company for Artificial Intelligence (SCAI) [merged into HUMAIN]

Feb 2023 – Sep 2025

Riyadh, Saudi Arabia

  • ·Led a cloud operations team of 6, supporting multiple AI applications across dev/test/prod; defined operational practices achieving 99.9% uptime, MTTR < 30 min, incidents reduced to ~2–3/month.
  • ·Established Azure DevOps as the standard engineering platform; migrated SCMs from GitLab and boards from Jira, consolidating workflows across 40+ repositories / 15+ projects.
  • ·Designed and implemented GitFlow branching and PR governance, improving cross‐team collaboration and release stability; reduced hotfixes and rollbacks by ~35% across 5+ teams.
  • ·Designed Azure cloud infrastructure for AI initiatives; integrated Fortinet FW/WAF and built end‐to‐end observability (Azure Monitor, Application Insights, ELK) with TTD < 5 min and TTR < 30 min.

Consulting Engineer

Digital Government Authority

May 2024 – Aug 2024

Riyadh, Saudi Arabia

  • ·Built CI/CD pipelines using GitHub Actions across 12+ repositories, reducing deployment time from ~30 min to ~8 min.
  • ·Designed and deployed a high‐availability, compliant Design System platform aligned with government standards, achieving 99.9% availability (SLA).
  • ·Integrated Azure DevOps for release automation and delivered comprehensive handover documentation and runbooks.

Education

M.S. Applied Artificial Intelligence

IU University of Applied Sciences

Expected 2026 — Bad Honnef, Germany

B.S. Software Engineering

Al Yamamah University

2018 — Riyadh, 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