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Achievements

Achievement: Pair Extraordinairex2Achievement: Pull Sharkx3Achievement: YOLOAchievement: Quickdraw

Achievements

Achievement: Pair Extraordinairex2Achievement: Pull Sharkx3Achievement: YOLOAchievement: Quickdraw

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Organizations

@ucsal @Codee-Hub

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yan-pi/README.md

About me:

I'm a Builder passionate about studying various languages and technologies.

I'm particularly enthusiastic about BTC and WEB3. You can see a more detailed overview of my career path here.

For updates on what I'm currently working on, check out my Twitter.

My WakaTime Stats:

From: 29 February 2024 - To: 25 January 2026

Total Time: 3,236 hrs 39 mins

TypeScript                 1,707 hrs 33 mins⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   51.82 %
Markdown                   424 hrs 56 mins ⣿⣿⣿⣄⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   12.89 %
Bash                       176 hrs 54 mins ⣿⣤⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   05.37 %
JavaScript                 122 hrs 34 mins ⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   03.72 %
Lua                        91 hrs 46 mins  ⣶⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   02.78 %
Other                      58 hrs 48 mins  ⣦⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   01.78 %

Pinned Loading

  1. nvim nvim Public

    my nvim config

    Lua 4

  2. indianboy indianboy Public

    My personal portifolio website and blog

    MDX

  3. cartesi-notary-office-dapp cartesi-notary-office-dapp Public

    A project to authenticate documents usign cartesi rollups and evm blockchain

    Rust

  4. go-opportunities-api go-opportunities-api Public

    This project provides a Go API to manage job openings, using the Gin framework for routing and GORM for database interaction.

    Go 1

  5. flower-species-classifier flower-species-classifier Public

    This project demonstrates a basic MLOps pipeline using Docker, Kubernetes, and Pyenv to manage Python environments. It includes a classification model trained with the Iris dataset.

    Python 4

  6. online-purchase-prediction online-purchase-prediction Public

    Machine learning pipeline for binary classification of online shopping session outcomes using Multi-Layer Perceptron (MLP), Support Vector Machine (SVM), and Random Forest models with GridSearchCV …

    Jupyter Notebook