I'm a developer passionate about building high-performance, low-latency systems in C++ while also leveraging Python for data analysis and React.js for crafting intuitive user interfaces. My work focuses on applying advanced data structures and algorithms to solve complex, real-world problems.
My main project is a High-Performance Order Matching Engine, a server that simulates the core functionality of a real stock exchange. It's built from scratch in C++ and engineered for both speed and robustness.
- Engineered with DSA: The system uses a min-max heap (priority queue) for
O(1)best-price access and a lazy deletion strategy with an unordered map for efficient order cancellations. - Performance-Driven: It's capable of processing over 2 million orders per second on a single thread.
- Next Steps: I am currently implementing a deterministic latency profiling framework. This involves using Python with libraries like Pandas and Matplotlib to analyze and visualize the performance data captured from the C++ core.
- Systems & Performance:
C++Data Structures & AlgorithmsPerformance Profiling - General Purpose & Data Analysis:
PythonPandasNumPyMatplotlib - Web Development:
React.jsJavaScriptHTML5CSS3
I'm interested in projects related to finance, low-latency systems, and I'm open to collaborating on high-impact projects that require a deep understanding of both back-end performance and front-end development.
- Instagram: @mxnrxjj