Skip to content
View eddydecena's full-sized avatar
πŸš€
πŸš€

Organizations

@poligonoio
Block or Report

Block or report eddydecena

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.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

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

Report abuse
eddydecena/README.md

πŸ‘‹ Hi there! I'm Eddy

Twitter Badge Linkedin Badge Medium Badge

#!/usr/bin/python
# -*- coding: utf-8 -*-


class SoftwareEngineer:

    def __init__(self):
        self.name = "Eddy Decena"
        self.spoken_languages = ["es_ES", "en_US"]
        self.roles = ["Machine Learning Engineer", "DevOps Engineer", "Cloud Engineer"]
        self.main_skills = ["Machine Learning", "Cloud Architecture", "DevOps", "Automaization"]
        self.architectures = ["Serverless", "Microservices"]

    @classmethod
    def say_hi(cls):
        print("Hello World! I'm a software engineer passionate about share knowledge and open-source.")


me = SoftwareEngineer()
me.say_hi()

  • πŸ”­ I’m currently doing some machine learning at @opticrd
  • 🌱 I’m currently learning Golang
  • πŸ‘― I’m looking to collaborate on HuggingFace
  • πŸ’¬ Ask me about Machine Learning in the cloud
  • ⚑ Fun fact:
    • Anime and video game fan
    • Fast learner

Pinned

  1. cycle-gan cycle-gan Public

    An cycle-gan implementation. Original paper: https://arxiv.org/pdf/1703.10593.pdf

    Python 1

  2. dqn dqn Public

    Deep Q-Networks Implementation with tensorflow 2.x

    Python

  3. toxicity-detection toxicity-detection Public

    Toxicity detection in a conversation or phases.

    JavaScript

  4. tensorflow/cloud tensorflow/cloud Public

    The TensorFlow Cloud repository provides APIs that will allow to easily go from debugging and training your Keras and TensorFlow code in a local environment to distributed training in the cloud.

    Python 368 84