Experience

Product-minded backend engineer who builds reliable systems across APIs, data pipelines, applied AI, and the interfaces people depend on.

Based
San Ignacio, Belize, UTC−6
Works with
Remote teams in the US and Korea
Range
Production systems and research
Certified
AWS Certified Solutions Architect – Associate

Career, in order

2018–2022Belize

Bachelor of Science, Information Technology

University of Belize

Graduated magna cum laude.

Feb 2022–Feb 2024Remote

Software Engineer

Adaviv

Built and operated backend systems for an agricultural technology platform used in real production environments.

  • Reduced backend latency by approximately 30% through query, caching, and service-path improvements.
  • Shipped production API and data-workflow changes across Python services and AWS infrastructure.
  • Worked directly with product and operational constraints where reliability mattered more than demos.

Feb 2024–2026South Korea

Graduate Researcher

Korea National University of Transportation

Designed reproducible research systems for mobility simulation and railway failure analysis. Master of Engineering, IT & Energy Convergence.

  • Ran 900 demand-responsive-transit simulations across 45 scenario variants.
  • Analyzed 10,078 KORAIL failure records for predictive-maintenance research.
  • Built experiment pipelines that connected scenario configuration, policy evaluation, metrics, and reporting.
Alain Morris
Alain Morris, San Ignacio

How I make technical decisions

Start with the operating reality

The useful system is the one that survives incomplete data, changing requirements, and the way people actually work.

Make evidence visible

Architecture, tradeoffs, and outcomes should be inspectable—not hidden behind inflated claims or decorative diagrams.

Own the whole path

I am strongest at the backend, but I will cross product, data, infrastructure, and interface boundaries to get the job done.

Tools, by what they are for

Backend systems
Python, FastAPI, Node.js, PostgreSQL, MongoDB, Redis
Applied AI & data
LLM systems, RAG, PyTorch, scikit-learn, MLflow, Pandas
Production delivery
AWS, Docker, CI/CD, Observability, React, Next.js

The short version is the résumé. For anything else, write to me.