Iván Moreno

Machine Learning Engineer

Software Engineer with a robust (5+ years) background in full-stack software development and data (machine learning, data science). Proven experience implementing cloud-native solutions and improving developer experiences. Great communicator and team-player.

Skills highlights

  • Solutions Engineering
  • Product Development
  • ML Engineering, ML Operations
  • DevOps
  • Data Science
  • Cloud infrastructure

Education

  • Master of Science in Artificial Intelligence, Universidad Internacional de Valencia
  • Bachelor of Science in Software Development, Erhvervsakademi SydVest

Experience Highlights

Lumicor Technologies

Málaga
Machine Learning Engineer
2024

In this ambitious project, we have built a platform for the development and deployment of a goal-oriented autonomous agent. The platform covers the end-to-end development cycle of an autonomous agent. From fine-tuning from human feedback, (qualitative and quantitative) performance evaluation including LLM-as-judge metrics, cross-model comparisons, multi-model inference, LLMOps, and deployment on serverless infrastructure. As part of our efforts, we cover most state of the art patterns currently found in LLM-based systems, including input validation, corrective guardrails, RAG, and more. More importantly, all components of our solution are fully open-source, and have been tested on air-tight environments in which commercial offerings (models and tooling) are not an option.
company_icon

The Lego Group


Data Engineer
2019 - 2021

Data Engineer Jul 2021 - Oct 2021 Working on LEGO.com's recommendation engines in the Data Science Products Engineering department Platform Engineer Sep 2020 - Jul 2021 Implementing a cloud-native, provider-agnostic platform to ease developer experience going from code to production Using Kubernetes, Elastic, Prometheus, PagerDuty, Let's Encrypt and ArgoCD (Python, Node.js, React.js) Student WorkerNov 2019 - Aug 2020 Working with the Technology Transformation team, in charge of building the new Kubernetes cloud infrastructure Using technologies such as Kubernetes, Elastic, Rancher, Prometheus, Let's Encrypt and ArgoCD Research topics include working with the ELK stack, CloudEvents, on-premise FaaS

Previous projects

Skills

Docker
Kubernetes
Machine Learning
Python
Computer Vision
Data Science
Deep Learning
DevOps
Generative AI
MLOps
MongoDB
NodeJS
SQL
Typescript
AWS
Data Pipelines
MLFlow
ReactJS
Scikit Learn
Quote

Knowledge is power.

Francis Bacon

v0.2.7 (db89341)