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40 followers · 21 following

Achievements

Achievement: QuickdrawAchievement: Pair ExtraordinaireAchievement: YOLOAchievement: Pull Sharkx3Achievement: Arctic Code Vault Contributor

Achievements

Achievement: QuickdrawAchievement: Pair ExtraordinaireAchievement: YOLOAchievement: Pull Sharkx3Achievement: Arctic Code Vault Contributor

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mikeogezi/README.md
  • Hello 👋, I'm Mike.
  • I'm a PhD student at the University of Waterloo doing research in MLLMs, focusing on grounding and multimodality with Freda Shi.
  • Previously, I worked at Hover where we built LLMs as an interface layer upon OSes.
  • I was a Master's student at the University of Alberta doing AI research ∈ (Natural Language Processing ∩ Computer Vision) with Greg Kondrak.
  • I worked on grounding language within the visual world with neural models that generate meaningful & useful concept representations from images and text. Future-wise, I look to build systems that holistically understand the world and lead to transformative AI.
  • I'm also interested in Quantum Computing ⚛️ and Astronomy 🌌.
  • I was previously a Software Engineer at Helicarrier, where I did some especially cool work, and Moniepoint.

Pinned Loading

  1. mercury mercury Public

    Rapidly iterate on your visual ideas with hyper-fast image generation

    4

  2. cbt-practice cbt-practice Public

    CBT Practice helps undergraduate students of the University of Jos practice for their computer-based examinations

    Java 6 4

  3. BabelCLIP BabelCLIP Public

    Given a concept, select a set of k highly pertinent images.

    Jupyter Notebook 1

  4. turtlebot3_rl turtlebot3_rl Public

    Teaching a TurtleBot 3 to drive in Gazebo.

    Python 8

  5. ColorGridWorld ColorGridWorld Public

    Teach agents dropped in a grid to go to the tile specified by a natural language instruction.

    Python 1

  6. tic-tac-toe-reinforcement-learning tic-tac-toe-reinforcement-learning Public

    This project explores how a machine learning agent trained via reinforcement learning learns how to play Tic-Tac-Toe

    Jupyter Notebook 2