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carlosbertoncelli/README.md

About Me:

🔭 I’m currently working as a Machine Learning Engineer
🌱 I’m currently studying VertexAI(GCP)
⚡ I consider myself a generalist, problem solver oriented, and I spent the last four years working with Machine Learning

🌐 Socials:

LinkedIn

💻 Tech Stack:

Below, you will see some of the tech stacks that I've worked with so far

  • Languages
  • Python JavaScript TypeScript Lua C++ Java HTML5

  • Cloud Providers
  • AWS Google Cloud

  • Frameworks
  • NPM NodeJS UNREAL React React Router FastAPI Fastify Express.js Django DjangoREST Apache Airflow Apache Nginx CMake Socket.io

  • Databases
  • MariaDB MySQL Postgres Redis SQLite ApacheCassandra

  • Machine Learning
  • Keras NumPy Pandas PyTorch scikit-learn SciPy TensorFlow

  • Infra
  • LINUX Docker Terraform Kubernetes

📊 GitHub Stats:


Pinned

  1. facenet_modf facenet_modf Public

    FaceNet modification to run on TensorFlow 1.15.2, with a few changes on the training scripts

    Python 2 2

  2. Additive-Angular-Margin-tf2 Additive-Angular-Margin-tf2 Public

    Repository with Additive Angular Margin Implementation for Tf 2.0 / tf.keras. Custom Layer Loss implementation for Face Recognition Models.

    Python

  3. model-server-boilerplate model-server-boilerplate Public

    A model server boilerplate for tensorflow & scikitlearn models

    Python

  4. recommendation-service recommendation-service Public

    A boilerplate service for recommendation using vowpal wabbit (reinforcement learning algorithm)

    Python

  5. url-shortener url-shortener Public

    A simple backend application that creates short URLs based on long URLs provided by the user. The service is built using TypeScript, Node.js, and Express.

    TypeScript

  6. node-ts-boilerplate node-ts-boilerplate Public

    TypeScript