import torch

class whats2000(torch.nn.Module):
    def __init__(self):
        super(whats2000, self).__init__()
        self.name = "whats2000"
        self.pronouns = "He/Him"

        self.projects = [
            "LLM Improve Coding Performance - CodeBRT project",
            "Compose Text Image Retrieval Research - Blip-With-LLMLabelImage project",
            "CTEC Website Development Phase 2 - CTEC website project"
        ]

        self.learning = [
            "How to improve coding performance with LLM and user experience",
            "Zero-shot learning combined with text image retrieval",
            "React and Node.js for website development"
        ]

        self.collaborate_on = ["CodeBRT project"]

        self.help_with = [
            "LLM improve coding performance",
            "Frontend development in VSCode extension",
            "Testing and debugging in VSCode extension on MacOS"
        ]

        self.ask_me_about = [
            "Developing VSCode extension with React and TypeScript",
            "PyTorch and Hugging Face Transformers deployment",
            "TypeScript and React development with Vite",
            "Website development with React and Node.js"
        ]

        self.reach_me = "Create an issue in the repository"

        self.love = [
            "Coding Frontend",
            "Playing with Torch",
            "Trying new languages I've never used before",
            "Publishing interesting projects"
        ]

        self.fun_facts = [
            "I am writing this README.md at 03:54 AM 🤔",
            "I am a night owl 🦉"
        ]

    def forward(self, input):
        return input

profile = whats2000()