import torch
import torch.nn as nn

class ME(nn.Module):
  def __init__(self):
    super().__init__()
    self.role = "Machine Learning Engineer"
    self.stack = nn.ModuleList([
        nn.Python(), nn.CPP(), nn.PyTorch(), nn.FastAPI(),
        nn.Polars(), nn.Docker(), nn.Linux(), nn.SQL()
    ])
    self.research_interests_weights = {
        "Applied ML & Computer Vision": 0.33,
        "Algorithms & Optimization": 0.34,
        "Predictive modeling & Forecasting": 0.33
    }

  def forward(self):
    return "♾ Lifelong learning.."

  def backward(self):
    return None

if __name__ == "__main__":
  me = ME()
  print(me.forward())