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  • Silesia, Poland

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RodrigoMoOr/README.md

Hello there 👋

My name is Rodrigo Morales. I'm a Machine Learning Engineer with a background in web and mobile development. I'm currently working at Applaudo Studios in the Data and Digital Transformation department in a social listening project. With regards to ML, this project mainly focuses development using NLP.

My Tech Stack

ML Web Quantum Computing Cloud
Pandas TypeScript Quantum Logic Gates VertexAI
NumPy JavaScript Quantum Superposition Google AI Platform & AI Pipelines
TensorFlow NestJS Quantum Circuits Kubeflow CLoud Pipelines & Prefect Cloud
Keras Express Deutsch-Josza Algorithm (Oracles) GCR
Scikit Learn Angular Breaking RSA encryption GKE
Python ReactJS Quantum Search (Grover's Algorithm) GCS
Kedro Python Quantum Noice Reduction Basics
Kubeflow FastAPI Quantum Regression & Variational Quantum Regression
Docker Flask Quantum Classification and VQR

Studies, Learning & Development

I’m also a student at Politechnika Śląska studying Computer Science.

  • My favourite courses so far:
    • Introduction to Artificial Intelligence
    • Mathematical Analysis
    • Software Engineering
    • Biologically Inspired AI
    • Deep Learning with Python
    • Java Programming On my little free time I'm working on my AI/ML Career Path.
  • Currently:
    • DeepLearning.ai NLP Specialization
  • You can check my career path on Notion

How to reach me?

  1. Through email at andresmorales.ro@gmail.com
  2. Let's connect on LinkedIn

Top Langs

Readme Card Readme Card

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  1. sut-cs-inz-proj-frontend sut-cs-inz-proj-frontend Public

    Engineering Thesis (Frontend) - The Silesian University of Technology

    TypeScript

  2. ApplaudoStudios-ADC-2022-QuantumML ApplaudoStudios-ADC-2022-QuantumML Public

    Repository for the exercises developed during the Quantum Machine Learning Workshop in Applaudo Studios' ADC 2022

    Jupyter Notebook 5 1

  3. DL_TensorFlow DL_TensorFlow Public

    Deep Learning course using TensorFlow

    Jupyter Notebook

  4. DataThief DataThief Public

    Python implementations for different libs/APIs to extract data.

    Python

  5. Kedro_Kubeflow_MLOps_POC Kedro_Kubeflow_MLOps_POC Public

    Repository containing the experiments performed to deploy ML pipelines using Kubeflow and Kubernetes to the Google Cloud Platform.

    Jupyter Notebook 1