"Writes code so the robots behave; rides bikes so he remembers he's squishy; riffs on guitar so he knows he's neither AI nor Achilles."

I'm a Master's in Computer Science student with a passion for making AI systems more interpretable and trustworthy. Currently serving as President of NEURAI Lab at Northeastern University, where we're pushing the boundaries of AI research through interdisciplinary innovation.

• 🧠 Mechanistic Interpretability & XAI Safety - Reverse engineering how AI systems actually work
• 📈 Quantitative Finance - Building retail quant strategies using Reinforcement Learning
• 🤝 Community Building - Hosting Bay Area interpretability workshops

Northeastern University's Research in AI

Leading interdisciplinary AI research initiatives focused on:

• Explainable AI: Making artificial minds more transparent
• AI in Healthcare: Enhancing nurse training simulations
• AI for Accessibility: Improving audio descriptions for visually impaired users
• Autonomous Systems: Wildlife-safe drone technology
• Traffic Modeling: Advanced particle-based car representation

Recent Highlights:

• Won 2025 Silicon Valley Rising Star Award

Much of my work is conducted through institutional collaborations and research initiatives

• AI Safety Research - Mechanistic interpretability studies (primarily private/institutional repos)
• Quantitative Finance Models - RL-based trading strategies and risk management systems
• NEURAI Lab Projects - Collaborative research in explainable AI and healthcare applications
• Workshop Materials - Bay Area interpretability meetup resources and educational content

Public repositories are selectively curated - most active development occurs in research environments

When I'm not debugging neural networks or building trading algorithms, you'll find me:

• 🎸 Riffing on guitar - Keeping the creative side alive
• 🏍️ Riding my Ducati - Embracing the thrill of the open road
• 🚴 Cycling - Staying grounded and remembering I'm human
• 🤝 Organizing workshops - Sharing knowledge with the AI interpretability community

I'm always excited to discuss:

• AI Safety & Interpretability
• Quantum Machine Learning applications
• Quantitative trading strategies
• Research collaborations
• Or just chat about guitars and motorcycles! 🎸🏍️