Quantitative Developer & AI Research Enthusiast
Quantitative Developer at Interactive Brokers building high-performance trading systems and financial modeling frameworks. Dual MS graduate from Georgia Tech in Computer Science and Quantitative Finance. Passionate about the intersection of machine learning, algorithmic trading, and low-latency systems. Currently exploring applications of AI in financial markets, advanced options pricing models, and real-time risk management systems.
Articles
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The Psychology of Quantitative Trading: Bridging Human Intuition and Algorithmic Precision
Exploring the mental challenges of building and trusting algorithmic trading systems, and how to navigate the psychological aspects of quantitative finance.
• 7 min read -
The Convergence of AI and Quantitative Finance: From Theory to Trading Floors
Exploring how machine learning is revolutionizing financial markets and the technical challenges of implementing AI in high-frequency trading environments.
• 8 min read
Career Updates
Started Deep Learning Specialization
Began Andrew Ng's Deep Learning Specialization on Coursera to strengthen my foundation in neural networks and prepare fo...
Graduated with Masters in Computer Science
Successfully completed my Masters degree with a thesis on 'Continual Learning in Federated Settings' and graduated Summa...
Speaking at QuantCon 2025
Honored to be selected as a keynote speaker at QuantCon 2025, presenting on 'The Future of AI in Quantitative Finance'.
Podcast
Technical podcast about quantitative finance coming soon! Listen to Naval Ravikant in the meantime.
Coming Soon →Talks
Talks and interviews coming soon! Enjoy this Naval Ravikant episode on entrepreneurship.
Coming Soon →