Shopify

Zomp Inc.

• Developed advanced ML models, including Random Forest, Gradient Boosting, and Convolutional Neural Networks, to enhance ILI data analysis for pipeline integrity and estimate missing pipeline properties
• Built ETL pipelines to process inspection data, improving pipeline defect detection accuracy by reducing depth measurement uncertainty by 20%, using Python

Zomp Inc.

• Developed C#/.NET applications used by 50+ analysts, which increased client productivity by 30%
• Optimized document processing and document repairs by 73% by using IAsyncEnumerable and lazy evaluation
• Applied test-driven development methodologies using the XUnit framework, achieving 95% code coverage and enabling early detection of issues, resulting in more reliable and maintainable code

Slime Scholars

• Built and maintained features for a web application with 100+ users
• Reduced database query load by 15% by developing REST APIs using HTTP protocols and refactoring data schemas in MongoDB