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())Daily Quote:
"Skills speak louder than words." © HackerRank
