Jai Pal

Quant Engineer

Jai Pal

Student + Engineer + Quant Researcher

Computer science major from Texas attending UT Austin. I am passionate about the intersection of Artificial Intelligence, Machine Learning, and Finance, focusing on how advanced computational techniques can be used to solve complex financial problems and drive innovation. I am particularly interested in the practical applications of AI and ML in areas such as predictive modeling, algorithmic trading, and risk management.

HFT Engine

A high-performance, real-time order book created in C++ and a simulator with a web interface created in Python

HFT Engine

EBM-LSTM

Event-based memory-augmented LSTM for financial time series

EBM-LSTM

Option Delta Hedger

A Python implementation of a delta-neutral options hedging system using the Black-Scholes model

Option Delta Hedger

Research

Independent research on various computer science and finance topics

Research