Standardizing O(log N) solutions for non-deterministic problems. Competitive programmer & backend optimizer.
Problems accepted across platforms
Top 3.2% on LeetCode Weekly
Codeforces (Candidate Master)
STL, Template Meta-programming
Bitmask DP, Digit DP, and Convex Hull Trick optimizations for recursive state transitions.
Heavy-Light Decomposition, Centroid Decomposition, and Dinic's Algorithm for Max Flow.
Constant time XOR operations and efficient subsets generation using bitwise magic.
Segment Trees, Fenwick Trees, and Persistent Trie for efficient range queries and updates.
Binary Search on Answer, Ternary Search, and Meet-in-the-Middle for optimization problems.
Extended Euclidean, Chinese Remainder Theorem, and Fast Exponentiation for modular arithmetic.
Reviewing high-impact implementations
A multi-threaded A* implementation handling 1M+ nodes per second. Utilized custom memory allocators to minimize cache misses during priority queue updates.
SIMD-optimized matrix operations achieving 50x speedup over naive implementation. Cache-blocking and loop unrolling reduced memory latency by 70%.
Lock-free LRU cache with time-based expiration. Achieved O(1) get/put operations using hash map + doubly linked list with atomic operations for thread safety.
Implemented sqrt decomposition for range sum queries with updates. Balanced trade-off between query and update times, outperforming segment trees for specific workloads.
Multi-threaded Huffman coding implementation with work-stealing scheduler. Achieved 85% compression ratio on text data with 8x parallel speedup on multi-core systems.
Tools and technologies I work with daily
ICPC Regionals
Google Kickstart
6★ CodeChef
AWS Certified
365 Day Streak
CS Masters
My professional journey
TechCorp Inc.
DataStream Solutions
CloudScale Labs
MIT