Alex Rivera

AI / Machine Learning Developer
alex.rivera@example.com · github.com/alexrivera · Remote / Open to relocation

Summary

AI developer with 6+ years building and deploying machine learning systems, from research prototypes to production-grade services. Focused on LLM applications, retrieval-augmented generation, and scalable model infrastructure. Comfortable owning a problem end-to-end: data pipeline, training, evaluation, and deployment.

Experience

Senior AI Engineer — Nimbus Labs
2023 — Present
  • Built a RAG pipeline serving 50k+ daily queries, cutting hallucination rate by 40% via reranking and citation grounding.
  • Led migration of inference stack to a self-hosted vLLM cluster, reducing per-request cost by 35%.
  • Mentored a team of 4 engineers on prompt evaluation and model monitoring practices.
Machine Learning Engineer — Fieldstone AI
2020 — 2023
  • Designed and shipped a fine-tuned classification model improving fraud detection recall by 22%.
  • Built internal tooling for dataset versioning and experiment tracking, adopted across 3 teams.
Software Engineer — Kestrel Systems
2018 — 2020
  • Developed backend services in Python and Go supporting real-time data ingestion at scale.

Skills

Python PyTorch LLM Fine-tuning RAG Vector Databases Kubernetes Docker AWS / GCP MLOps Distributed Training SQL Go

Projects

OpenTrace — LLM observability toolkit
Open source, 800+ GitHub stars
DocuMind — document Q&A assistant using hybrid search
Personal project, deployed on Fly.io

Education

M.Sc. Computer Science, Machine Learning track
University of Toronto, 2018
B.Sc. Computer Science
University of Waterloo, 2016