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👋 Hi there! I'm David Ascencios Rondón 👽

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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 [email protected] 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!

David Ascencios Rondón's Projects

deep-learning-v2-pytorch icon deep-learning-v2-pytorch

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

deepspeech icon deepspeech

A TensorFlow implementation of Baidu's DeepSpeech architecture

dmls-book icon dmls-book

Summaries and resources for Designing Machine Learning Systems book (Chip Huyen, O'Reilly 2022)

dsnd_term2 icon dsnd_term2

Contains files related to content and project of DSND Term 2

examples icon examples

A repository to host extended examples and tutorials

ml20182 icon ml20182

TA - Machine Learning (David, Will y Jorge)

ml_sagemaker_studies icon ml_sagemaker_studies

Case studies, examples, and exercises for learning to deploy ML models using AWS SageMaker.

mle-playground icon mle-playground

Final project for Machine Learning Engineer Nanodegree in Udacity Schoolarship, using AWS services for deployment. Use case: Mechanisms of Action (MoA) Prediction (https://www.kaggle.com/c/lish-moa)

nlp-tutorial icon nlp-tutorial

Natural Language Processing Tutorial for Deep Learning Researchers

pix2pixhd icon pix2pixhd

Synthesizing and manipulating 2048x1024 images with conditional GANs

pysyft icon pysyft

A library for answering questions using data you cannot see

pytorch-deepfashion icon pytorch-deepfashion

pytorch implementation of the deepfashion architecture (https://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Liu_DeepFashion_Powering_Robust_CVPR_2016_paper.pdf)

source-to-image icon source-to-image

A tool for building artifacts from source and injecting into container images

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