LD
About Lloyd Dela Cruz

Operational systems for healthcare, engineered from inside the workflow.

Vancouver, BC · Healthcare workflow engineering · Analytics · Applied AI

I build operational software for healthcare — workflow systems, analytics tools, and AI-assisted features designed to hold up in real clinical use. My background is Industrial Engineering, shaped by years working inside high-acuity hospital environments.

Over the last several years I've moved from frontline care into the systems side of healthcare — an MSc in Data Analytics, certifications in analytics, cloud, and applied AI, and a wheelchair-logistics platform now running across four Vancouver Coastal Health sites. Alongside it sits a growing portfolio of healthcare data, applied-AI, and automation systems — clinical documentation pipelines, workflow automation, risk and population-health tools. I'm still a Rehabilitation Assistant at VCH; the engineering work grew out of problems I kept watching happen on shift.

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9+

Years at VCH

200+

Patient plans / yr

4 / 800+

Sites · assets

Lloyd Dela Cruz
Open to healthcare data, analytics, AI & application engineering roles

Certifications

BrainStation — Data AnalyticsGoogle — Data AnalyticsDeepLearning.AI — Data EngineeringAWS — AI Practitioner

Core stack

Languages & data

HTML5 — The markup standard behind every page on this site. Semantic, accessible structure comes before any styling or interactivity.
JavaScript — The language under every interactive UI I ship, on this site and off it — front end state and Node.js services alike.
Python — My default for data pipelines, scripting, and backend services — ETL work, prototyping, and automation across healthcare data projects.
SQL — How I query and model relational data, from MSc coursework analysis to the production schemas behind tools like SpendWise.
R — Statistical analysis for coursework and healthcare data work, where I want rigorous stats rather than general-purpose scripting.
Tableau — Dashboards and stakeholder-facing reporting — turning raw operational data into something a clinical or admin audience can act on.

AI-assisted development

Claude Code — My primary AI pair-programmer — daily use for implementation, refactors, and reviewing changes across this codebase.
Codex — OpenAI's coding agent — I bring it in for a second opinion on implementation and code review alongside Claude.
Gemini — Google's model — research and a secondary reviewer when I want a different take on a design or a bug.
GitHub Copilot — Inline suggestions during day-to-day coding — fast autocomplete for boilerplate so I can focus on the harder parts.

Full-stack & platform

React — The base of every frontend I build — component-driven UI with the ecosystem I know best.
Next.js — The framework this site runs on — App Router and static export, and my default for new frontend projects.
Node.js — JavaScript on the backend — APIs and tooling, so logic and types can be shared across the whole stack.
PostgreSQL — The relational database behind production systems, including the wheelchair-tracking platform running across four VCH sites.
AWS — Cloud deployment and infrastructure — where I host and run backend services and data pipelines.

Career evolution

My professional journey.

From Industrial Engineering to applied AI — a multi-decade arc across continents, disciplines, and the systems behind healthcare.

  1. 2007 — 2012

    Industrial Engineering & early career

    Earned a BSc in Industrial Engineering in 2007. Spent the first few years in sales, then relocated to Singapore for engineering work on sustainable-energy projects. Applied Lean Six Sigma to cut project timelines by ~15% and costs by ~20% — the foundation for how I still approach systems and operations today.

    Project ManagementLean Six SigmaProcess OptimizationContract Management
  2. 2012 — 2016

    Starting over in Canada

    Moved to Canada in 2012 and rebuilt from the ground up. Worked service, security, and cleaning jobs to fund full-time study — Rehabilitation Assistant Diploma at Vancouver Community College, then Sustainability Management at UBC. The grind itself was the curriculum: every job taught me something about how people actually use systems.

    AdaptabilityResilienceTime ManagementCustomer Service
  3. 2016 — 2022

    Healthcare practice at VCH

    Joined Vancouver Coastal Health as a Rehabilitation Assistant in 2016. Supported 200+ patient care plans per year across three hospital sites — outpatient and acute. Six years close to the operational gaps that don't show up in reports: scheduling friction, equipment misplacement, handoffs that fall through. That's where the engineering work started.

    Patient careClinical workflowsEquipment logisticsCross-team coordinationCerner
  4. 2022 — Presentnow

    Engineering, analytics & applied AI

    Began layering engineering, data, and applied AI work on top of clinical practice. Completed an MSc in Data Analytics at Eastern University; earned certifications across analytics, cloud, and applied AI (BrainStation, Google, DeepLearning.AI, AWS AI Practitioner); shipped a wheelchair-tracking platform now running across four VCH sites with 800+ tracked assets; and built a portfolio of healthcare prototypes — a clinical GenAI documentation pipeline, an enterprise workflow automation engine, and applied-ML risk and population-health tools. Still at VCH — open to healthcare data, analytics, AI, and application engineering roles.

    PythonSQLTableauAWSNext.jsTypeScriptFastAPIPostgreSQLApplied AI

What drives me

What drives me.

The principles that guide how I scope, build, and ship systems. Tap a card for how each shows up in practice.

Technical expertise

Technical expertise.

Three overlapping bodies of work: applied AI engineering, full-stack product development, and nearly a decade inside healthcare operations. Each area reflects a different layer of the systems work.

Let's build the next healthcare system.

I'm running a multi-site hospital equipment-tracking and analytics system in production, and I'm open to healthcare data, analytics, AI, and application engineering roles — remote, hybrid, or on-site. The best way in is a short conversation.

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