Jai Pal

Quant Engineer

Jai Pal

Student + Engineer + Quant Researcher

Currently building @ JAPA, the future of order flow trading.

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.

FoodNex

Simple and fast way to donate surplus food to participating food pantries and food banks to aid in the fight against food insecurity.

FoodNex

JAPA

Connecting innovators in quantitative finance through open source tools for pattern analysis, risk management, and order flow transparency.

JAPA

HomeVal

Reinventing the transacational real estate space by leveraging AI technology to enhance the process for property searching.

HomeVal

Ora

Trading algorithm using Wyckoff pattern identification, tested using personal backtester using foreign exchange historical data.

Ora

PubNect

Bridging the gap between students and research opportunties by hosting virtual conferences and other networking opportunities.

PubNect

Research

Independent research on various computer science and finance topics.

Research