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🎯
learning
🎯
learning
28 followers · 115 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. Also, I love NLP topics and cloud stuff (specially AWS and GCP). I'm very curious about different architectures for AI solutions and nice 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, GenAI, Serverless, MLOps, APIs and Data Pipelines.
  • 🌱 I’m currently learning Rust!
  • 📫 How to reach me: Feel free to send me an email to [email protected] or connect via Linkedin.
  • 👯 I’m looking to collaborate on open source projects for ML platforms / frameworks (such as Kubeflow, Langchain) 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 15 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