Began Andrew Ng's Deep Learning Specialization on Coursera to strengthen my foundation in neural networks and prepare for PhD research.

Successfully completed my Masters degree with a thesis on 'Continual Learning in Federated Settings' and graduated Summa Cum Laude.

Honored to be selected as a keynote speaker at QuantCon 2025, presenting on 'The Future of AI in Quantitative Finance'.

Published peer-reviewed research on 'Deep Learning for Cross-Asset Risk Prediction' in the Journal of Computational Finance.

Filed patent application for 'Adaptive Market Making Using Reinforcement Learning' - a breakthrough in algorithmic trading technology.

Launched independent consulting practice focused on machine learning applications in quantitative finance and risk management.

Thrilled to announce that my first conference paper has been accepted to NeurIPS 2024! The paper introduces a novel approach to continual learning.

Successfully led a cross-functional team to implement a next-generation real-time risk monitoring system for high-frequency trading operations.

Made significant contributions to QuantLib, a popular open-source library for quantitative finance, improving options pricing algorithms.

Excited to begin research collaboration with Georgia Tech's AI lab while continuing my full-time role at Interactive Brokers.

Successfully passed CFA Level III exam, completing the CFA charter requirements. A significant milestone in my quantitative finance career.

Successfully completed the Options Market Maker Certification program, enhancing expertise in options trading and derivatives pricing.

Excited to announce my promotion to Senior Quantitative Developer at Interactive Brokers, leading a team focused on next-generation trading algorithms.