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Learning/Experimenting
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Learning/Experimenting
41 followers · 65 following

Achievements

Achievement: YOLOAchievement: Pull Sharkx2Achievement: Quickdraw

Achievements

Achievement: YOLOAchievement: Pull Sharkx2Achievement: Quickdraw

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lawun330/README.md

Greetings 👋 from La Wun Nannda

Willing to contribute my skills to support humanitarian causes

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Background

  • My journey began with Arduino-Learning in 2018.
  • Developed software for a Refiller Robot with LORA teammates at YTU; donated to Wai Bar Gi Hospital, Myanmar, during COVID-19 at 2020.
  • During my undergraduate studies, I explored areas such as front-end development, machine learning, data science, algorithms, AI, ML, and quantum computing.
    • Relevant certificates are available on my LinkedIn profile.

Current Goal

I am developing skills in Machine Learning and Quantum Computing. I am particularly motivated by the potential of quantum algorithms to accelerate and enhance ML workflows. My repositories reflect ongoing projects and experiments focused on data-driven solutions and computational problem-solving.

Tools Used

Languages:

Backend:

ML:

Development:

All Languages

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  1. QML-for-Conspicuity-Detection-in-Production QML-for-Conspicuity-Detection-in-Production Public

    Forked from womanium-quantum/QML-for-Conspicuity-Detection-in-Production

    Womanium Quantum+AI 2024 project for competition using quantum computing

    Jupyter Notebook

  2. quantum-portfolio-optimization-remake quantum-portfolio-optimization-remake Public

    A remake of WISER+Vanguard's portfolio optimization project using quantum computing for competition

    Linear Programming 1

  3. information-retrieval information-retrieval Public

    Information retrieval using basic versions of a web crawler, indexer, and search engine, along with supporting modules

    Python

  4. classical-ai-examples classical-ai-examples Public

    Examples of classical artificial intelligence concepts

    Python

  5. sannie-bot sannie-bot Public

    A telegram web app to display BBC News without leaving the app

    Python 2

  6. nlp-sentiment-analysis-comparison nlp-sentiment-analysis-comparison Public

    Self-study NLP project comparing sentiment analysis models and applying segment-level inference with mean probability pooling to mitigate training-test data length mismatches

    Jupyter Notebook 1