Learning
Highlights
- Pro
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.
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 |
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
- Through email atandresmorales.ro@gmail.com
- Let's connect onLinkedIn
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- sut-cs-inz-proj-frontend
sut-cs-inz-proj-frontend PublicEngineering Thesis (Frontend) - The Silesian University of Technology
TypeScript
- ApplaudoStudios-ADC-2022-QuantumML
ApplaudoStudios-ADC-2022-QuantumML PublicRepository for the exercises developed during the Quantum Machine Learning Workshop in Applaudo Studios' ADC 2022
- Kedro_Kubeflow_MLOps_POC
Kedro_Kubeflow_MLOps_POC PublicRepository containing the experiments performed to deploy ML pipelines using Kubeflow and Kubernetes to the Google Cloud Platform.
Jupyter Notebook 1
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