- 🎓 Ph.D. in Computer Science at the Georgia Institute of Technology
- 🧠 Research areas: AI, Large Language Models, Human–AI Interaction
- 🤖 Research Intern @ Microsoft AI/Microsoft Research (2026) and Dolby Research (2025)
- 💻 Software Engineer Intern @ Amazon (×2) and HubSpot
- 🌱 Building intelligent technologies that augment human capabilities and improve real-world decision making
- 📫 Reach me on LinkedIn
My research lies at the intersection of AI, Large Language Models, and human–AI interaction, with the goal of developing intelligent technologies that augment human capabilities and improve real-world decision making. I design and evaluate AI systems that are collaborative, effective, and grounded in human needs.
- MASCOT — improving multi-agent AI systems for socio-collaborative tasks.
- CultivAgents — multi-agent framework for studying agent collaboration and decision making.
- AgentReview — LLM-agent framework for exploring academic peer-review dynamics.
- FromPuffsToPatterns — data-driven analysis project uncovering patterns from raw signals.
I'm especially interested in research and collaboration on:
- Agentic AI and Large Language Models
- Human–AI Interaction and Collaborative Systems
- Research that drives product and real-world impact
- 🌐 Website
- 🎓 Google Scholar
If you are hiring for research or applied scientist intern or full-time roles, or you'd like to discuss collaboration in AI, Large Language Models, or human–AI interaction, I'd love to connect!