Skip to content
View ricoms's full-sized avatar
🐍
🐍
  • São Paulo, SP - Brazil

Highlights

  • Pro

Organizations

@multimediaeval

Block or report ricoms

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
ricoms/README.md

Hi there 👋

ML/AI Engineer with 5+ years building production intelligent systems — from recommendation engines and computer vision pipelines to RAG systems and LLM-powered applications.

I like getting into a problem space fast, figuring out the simplest architecture that actually works, and shipping it. End-to-end: model development, backend, frontend, cloud infra, MLOps, CI/CD.

What I work with

  • AI/ML: PyTorch, TensorFlow, scikit-learn, DSPy, LLM/RAG architectures, computer vision, NLP, recommendation systems
  • Backend: Python (FastAPI, SQLAlchemy), Rust (axum), Node.js
  • Frontend: Vue 3 + TypeScript, Astro
  • Data: PostgreSQL, MongoDB, Redis, Elasticsearch, pgvector
  • Cloud: GCP (Cloud Run, Vertex AI, Pub/Sub), AWS (SageMaker, EKS, Redshift)
  • MLOps: Docker, Terraform, GitHub Actions, OpenTelemetry, Optuna, TensorBoard

Industries I've shipped in

E-commerce, fintech, food tech, manufacturing, remote sensing, edtech, sports analytics, credit scoring

  • 👯 Always happy to collaborate on ML engineering, MLOps, and AI product development
  • 🌱 Currently deep into Rust for high-throughput AI backends and LLM evaluation frameworks
  • ⚡ Fun fact: I worked as a Hotel Manager

Pinned Loading

  1. Getting-and-Cleaning-Data-Course Getting-and-Cleaning-Data-Course Public

    Archive for the final project of the Course "Getting and Cleaning Data"

    HTML

  2. curso_r_shiny_semacomp_2016 curso_r_shiny_semacomp_2016 Public

    Material foi desenvolvido para o treinamento "Introdução ao R e Shiny" ministrado na SEMaComp 2016 no Instituto de Ciência e Tecnologia da Universidade Federal de São Paulo.

    CSS 1

  3. curso_Rmarkdown curso_Rmarkdown Public

    Material para curso de rmarkdown ministrado no ICT-UNIFESP como complemento da disciplina Simulação de Sistemas.

    HTML

  4. projeto_evasao_unifesp projeto_evasao_unifesp Public

    projeto de análise da evasão na Universidade Federal de São Paulo, uma aplicação de Aprendizado de Máquina em Direitos Humanos

    Jupyter Notebook 1 2

  5. shiny_meta_analyzer shiny_meta_analyzer Public

    Repositório do aplicativo Meta-análise desenvolvido em projeto no ICT-UNIFESP.

    R 2

  6. video_image_features video_image_features Public

    Repository with code to extract different features from video and images.

    Python 8 3