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Hello, My name is Samuel šŸ‘‹šŸ¾

I am a Software Engineer with a specialization in developing and maintaining cutting-edge Accounting software. Currently, I am furthering my expertise through an MSc by Research in Computer Science, with a focus on Deep Reinforcement Learning for Portfolio Optimization.

About me šŸ™ŽšŸ¾ā€ā™‚ļø

  • šŸ‘ØšŸ¾ā€šŸ’» Iā€™m interested in Software Development, Deep Learning, Robotics, and Everything in between
  • šŸ“ Iā€™m currently learning more on Kubernetes, and AWS / GCP.
  • šŸ‘€ Iā€™m looking to collaborate on projects in the Software Development, Cloud Computing, Deep Reinforcement Learning (DRL) and Dev-Ops fields
  • šŸ“« You can reach me on Twitter @saolxs
  • šŸ‘½ Fun Fact: I love exploring new fields and learning about the world

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Samuel Oladejo's Projects

dqn-atari icon dqn-atari

This repo is focused on the implementation of the Deep Q-Learning (DQN) agent to play Atari games. For this we use the Pong environment which are contained within the OpenAI Gym Atari package.

mojo icon mojo

The Mojo Programming Language

saolxs icon saolxs

Config files for my GitHub profile.

speech-emotion-recognition icon speech-emotion-recognition

In this project, we will use Convolution Neural Networks to detect Emotions in Conversations. To train our model and analyze the acoustic features of the audio data recording, we will exclusively use English audio datasets from the MSP Podcast Corpus, CREMA-D, Toronto emotional speech set (TESS), and Ryerson Audio-Visual Database of Emotional Speech and Song (RAVDESS). We plan to identify the following emotions: happiness, sadness, neutral, anger, disgust, and fear. Given the increasing levels of sadness in the midst of the covid-19, our long-term goal is to expand this project as a tool to be used in a voice-based assistant on a suicide prevention hotline.

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