Aryan Golbaghi

Engineering practice

Work

Selected areas of engineering practice. This page is designed to grow into detailed case studies without exposing confidential employer work.

Area 01

Production AI systems

Engineering reliable AI services with deliberate retrieval, evaluation, failure handling, and operational visibility.

  • RAG
  • LLM evaluation
  • Cloud infrastructure
Area 02

Developer tooling

Building tools that turn complicated workflows into clear, repeatable engineering systems.

  • TypeScript
  • Python
  • GitHub Actions
Area 03

Real-time observability systems

Designing software that makes system behaviour legible while events are still unfolding.

  • Real-time systems
  • Monitoring
  • Cloud
Area 04

Machine learning research tooling

Creating practical infrastructure for fine-tuning, experiment management, and rigorous model assessment.

  • PyTorch
  • Fine-tuning
  • Evaluation

Individual case-study routes can be added from this structured index as public project material becomes available.