Portfolio
Here are some of the systems I’ve built and designed, focusing on real-world problems and scalable solutions.
Case studies
A scalable URL shortener designed to handle high traffic and fast redirection.
Problem
Efficiently storing and retrieving shortened URLs while minimizing database load.
Approach
Implemented caching strategies and optimized lookup mechanisms to ensure fast redirection even under load.
Expected outcome
Expected outcome: reliable short-link redirection with low lookup latency and reduced database pressure under traffic spikes.
Tech stack
A system for managing and calculating dynamic rates based on multiple parameters like origin, destination, weight, and date ranges.
Problem
Handling complex pricing logic with overlapping date ranges and multiple business rules.
Approach
Designed logic to split, override, and manage rate conflicts while maintaining data consistency.
Expected outcome
Expected outcome: a maintainable pricing engine that handles rule conflicts clearly and supports operational changes without fragile patches.
Tech stack
A backend system focused on efficient data retrieval and processing for large datasets.
Problem
Slow query performance and inefficient data handling in large-scale applications.
Approach
Applied query optimization, indexing strategies, and structured data flows to improve performance.
Expected outcome
Expected outcome: faster queries, more predictable system behavior, and a cleaner path for scaling large-volume data processing.
Tech stack