Engineered a multithreaded text processing engine in C++11 to achieve 3x faster runtime versus previous implementation • Designed a memory‑safe Trie structure to accelerate regex pattern matching, reducing dataset parsing latency by 42%(1.5x speedup) for 10GB+ text corpora. • Optimized regex workflows by eliminating redundant string reallocations, cutting 15% memory overhead in high‑volume NLP pipelines. • Boosted concurrent data processing reliability via RAII mutexes and atomic operations, enabling safe scaling to 32 threads with <0.2% contention. • Architected a thread pool with work‑stealing queues, increasing batch processing throughput by 68% while reducing CPU idle cycles by 40%. • Accelerated ONNXRuntime inference for speech recognition models by 19% via kernel fusion and operator autotuning. • Implemented LRU cache with time‑aware eviction for beam search decoders, reducing CTC decoding latency by 27% in real‑time transcription systems. • Made a custom C++ API for k2 FSA/FST library using pImpl software practice utilizing safe memory primitives • Refactored the library to be more CUDA‑centric while maintaining C++ compatibility, optimizing performance for parallel execution, achieving 5% speed up

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Currently Learning, working on Quantum Photonic Devices, photon generation, manipulation.

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Individual study at IBS, I review papers published by Data Science lab, and give feedbacks about the papers.

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