Skip to content
View Pauullamm's full-sized avatar
8 followers · 14 following
  • United Kingdom

Achievements

Achievement: Pull Sharkx2Achievement: QuickdrawAchievement: YOLO

Achievements

Achievement: Pull Sharkx2Achievement: QuickdrawAchievement: YOLO

Block or report Pauullamm

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
Pauullamm/README.md

Hi 👋, I'm Paul

💫 About Me:

  • I'm a self-taught software developer, currently working as a Remote Software Development Intern at Radical AI.
  • I first picked up programming in my third year of university (studying Pharmacy) by learning Python through Udemy courses and have since dedicated myself to self-learning various tools and technologies to build projects.

🌐 Socials:

LinkedIn

💻 Technologies used in my projects:

HTML5 CSS3 JavaScript Python NodeJS React Flask Firebase Render Netlify Gunicorn SQLite Postgres Pandas PyTorch Git Postman Raspberry Pi Redis NextJS Hugging Face Selenium Docker Electron

📊 GitHub Stats:


Pinned Loading

  1. LC-Vision LC-Vision Public

    Image-text upload interface to utilise RAG for pill identification

    Python

  2. logos-ai logos-ai Public

    An interlinear Greek-English reader with AI integration

    JavaScript 1

  3. shortBNF-app shortBNF-app Public

    Drug monographs from the BNF that have extra important safety information

    JavaScript 1

  4. scrape-playground scrape-playground Public

    Scrape webpage data with AI agents

    Python

  5. LC_Pill_Checker LC_Pill_Checker Public

    Experimenting with retrieval augmented generation (RAG) with the LangChain framework to identify tablets/capsules by their text description

    Jupyter Notebook