This is the first post on my personal blog. I’ll be writing about:

• Machine Learning at Scale — lessons from building production ML systems at Walmart
• Research Insights — deep dives into papers and methods
• Data Science Leadership — managing DS teams and strategy

Code Example

Here’s a quick Python snippet to show syntax highlighting:

import numpy as np

def sigmoid(x):
    return 1 / (1 + np.exp(-x))

Math Example

Inline math: \(E = mc^2\)

Display math:

Mermaid Diagram

graph LR
    A[Data Ingestion] --> B[Feature Engineering]
    B --> C[Model Training]
    C --> D[Evaluation]
    D --> E[Deployment]

More posts coming soon!