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@RodrigoMoOr
RodrigoMoOr
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💭
Learning

Rodrigo Morales RodrigoMoOr

💭
Learning
ML | Cloud
  • Katowice, Poland

Highlights

  • Pro

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RodrigoMoOr/README.md

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

MLWebQuantum ComputingCloud
PandasTypeScriptQuantum Logic GatesVertexAI
NumPyJavaScriptQuantum SuperpositionGoogle AI Platform & AI Pipelines
TensorFlowNestJSQuantum CircuitsKubeflow CLoud Pipelines & Prefect Cloud
KerasExpressDeutsch-Josza Algorithm (Oracles)GCR
Scikit LearnAngularBreaking RSA encryptionGKE
PythonReactJSQuantum Search (Grover's Algorithm)GCS
KedroPythonQuantum Noice Reduction Basics
KubeflowFastAPIQuantum Regression & Variational Quantum Regression
DockerFlaskQuantum 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 ProgrammingOn my little free time I'm working on my AI/ML Career Path.
  • Currently:
    • DeepLearning.ai NLP Specialization
  • You can check my career path onNotion

How to reach me?

  1. Through email atandresmorales.ro@gmail.com
  2. Let's connect onLinkedIn

Top Langs

Readme CardReadme Card

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  1. sut-cs-inz-proj-frontendsut-cs-inz-proj-frontendPublic

    Engineering Thesis (Frontend) - The Silesian University of Technology

    TypeScript

  2. ApplaudoStudios-ADC-2022-QuantumMLApplaudoStudios-ADC-2022-QuantumMLPublic

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

    Jupyter Notebook 5 1

  3. DL_TensorFlowDL_TensorFlowPublic

    Deep Learning course using TensorFlow

    Jupyter Notebook

  4. DataThiefDataThiefPublic

    Python implementations for different libs/APIs to extract data.

    Python

  5. Kedro_Kubeflow_MLOps_POCKedro_Kubeflow_MLOps_POCPublic

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

    Jupyter Notebook 1


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