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learning
🎯
learning
26 followers · 113 following
  • Bain & Company
  • Lima. Perú

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outlierd29/README.md

👋 Hi there! I'm David Ascencios Rondón 👽

Website • Twitter • Linkedin

I'm a machine learning engineer from Peru, passionate about making apps with ML components in the backend. Also, I love NLP topics and cloud stuff (specially AWS and GCP). I'm very curious about different architectures for AI solutions and good MLOps frameworks.

I've been working on Data Science and Machine Learning since 2018, and never stopped since then. I have a strong background in software engineering, as well as statistics and data engineering.

  • 💬 Ask me about: Python, Machine Learning, Serverless, MLOps, APIs, ML and Data Pipelines.
  • 🌱 I’m currently learning Node.js and reading about Transformers!
  • 📫 How to reach me: Feel free to send me an email to outlierd@pm.me or connect via Linkedin.
  • 👯 I’m looking to collaborate on open source projects for ML platforms (such as Kubeflow and MLFlow), or APIs and ML frameworks in Python.
  • ⚡ Fun fact: I love manga/anime and playing basketball. My favorite anime is Full Metal Alchemist Brotherhood, and my favorite team is the Miami Heat!

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  1. deep-learning-v2-pytorch deep-learning-v2-pytorch Public

    Forked from udacity/deep-learning-v2-pytorch

    Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

    Jupyter Notebook

  2. poc-cloud-run poc-cloud-run Public

    Testing Cloud Run functionalities

    Python

  3. sagemaker-deployment sagemaker-deployment Public

    Forked from udacity/sagemaker-deployment

    Code and associated files for the deploying ML models within AWS SageMaker

  4. bentoml/google-cloud-run-deploy bentoml/google-cloud-run-deploy Public archive

    Fast model deployment on Google Cloud Run

    Python 14 8

  5. workshop workshop Public

    Forked from data-science-on-aws/data-science-on-aws

    AI and Machine Learning with Kubeflow, Amazon EKS, and SageMaker

    Jupyter Notebook