Building multi-agent AI for finance

InkSight AI is an education platform that captures information across modalities, making real-time, multi-sensory learning possible and affordable for every learner.

Selected by the Cornell eLab Student Startup Accelerator (Fall 24’) out of 200+ applicants. Pitched at 2024 Cornell Tech Entrepreneurship showcase in NYC. We just received multiple micro-grants to further our mission. If you’re interested in contributing to the cause, reach out!

Conducted research on multimodal learning with applications in education and accessibility, focusing on integrating speech, text, and visual representations from STEM lectures. Supervised by Prof. Jennifer Sun.

Developed a RAG-based agentic AI solution to enhance productivity in audit and review processes for Cornell’s College of Agricultural & Life Sciences. Implemented a second-opinion clinical chatbot for the vet school. Collaborated with departmental administrators to design and integrate AI solutions.

Worked on LRR, Cornell's first educational robot used in introductory robotics courses. Implemented path-finding algorithms for obstacle navigation and collision-free trajectory generation. Documented bugs and pain points to prepare the platform for broader classroom and research use.