Data Engineering
Building efficient data pipelines, working with structured and unstructured data, designing database schemas, and optimizing query performance. Python, SQL, and Pandas are my primary tools.
Backend Development
Creating APIs, managing application logic, handling authentication, and integrating with databases. Currently expanding into distributed systems and cloud architecture.
Applied Machine Learning
Working with NumPy and Pandas to build data-driven applications. Focused on practical implementations rather than theoretical research—solving real problems with ML techniques.
System Design
Learning to architect scalable systems, understanding trade-offs, and making informed decisions about technology choices. Studying patterns from production systems.