Hi, I’m a Mathematics & Computing student with a growing interest in quantitative finance and systems engineering.
I enjoy working on problems where math, programming, and real-world decision-making intersect. Most of my personal projects revolve around building small trading systems, exploring market behavior, and improving my ability to write clean, efficient code. I’m actively sharpening my skills in C++, Python, and numerical methods as I move toward roles in quantitative development.

🧪 I’m currently working on
Building lightweight quant models, experimenting with factor-based strategies, and improving the performance of my C++/Python implementations.

🤝 I’m looking to collaborate on
Projects involving backtesting frameworks, statistical modeling, or low-latency systems work. I like environments where math and engineering meet.

🧠 I’m looking for help with
Derivatives pricing techniques, advanced optimization methods, and best practices for structuring production-level quant code.

🌱 I’m currently learning
Probability-heavy ML, numerical algorithms, and modern C++ for high-performance computing. Also getting familiar with market microstructure and execution logic.

💬 Ask me about
Math puzzles, algorithm design, clean system architecture, or how I build small trading tools from scratch.

⚡ Fun fact
I often take a math problem meant for class and end up turning it into a mini coding project just because it’s more fun that way.