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Remote / India

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Writing code that bridges theory and practice, with a love for clean architecture and optimized performance.

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Big-O Complexity Guide

Understanding algorithm complexity is key to writing performant code:

O(1) – Constant Time - direct lookup
O(log n) – Logarithmic Time - binary search
O(n) – Linear Time - array traversal
O(n log n) – Efficient Sort - mergesort, heapsort
O(n²) – Nested Loops - bubble sort

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