Data and AI Enthusiast

FinTech, Autonomous, AGI, Agentic Processing

FinTech, Autonomous, AGI

In high school got interested in machine learning and self-learned basics of machine learning like neural nets and CNNs, and eventually built a U-Net model. At my college I'm currently a workshop officer teaching machine learning to students, and have done workshops in reinforcement learning and LLMs. Now I'm working on a project involving semantic search and exploring how different models perform on semantic search for Capital One.

I'm looking to learn integrating agentic AI with google cloud. I hope this experience teaches me more about the use cases and potential of agentic AI. I also hope to connect with others to learn about what they are doing with the AI realm and hope to gather inspiration for new project ideas that could be impactful for the people around me.

I'm working on using AWS OpenSearch for semantic search application experimenting with different embedding models.

I am a rising junior at Rutgers University, New Brunswick.

I'm currently focused on leveraging AI to improve urban infrastructure, starting with housing in Manhattan. I'm building AI agents to help realtors filter and prioritize leads efficiently, and exploring how smart systems can streamline tenant-landlord matching, rental discovery, and city-level optimization. I enjoy blending full-stack development with creative AI applications to solve real-world problems in housing, real estate, and beyond.

At Musa Labs' NYC hackathon, I built LeaseLink, a swipe-based “Tinder for Housing” platform that reimagines the rental experience with AI-matched listings and real-time landlord-renter connections — and it was selected as one of the winning projects. Building on that momentum, I’m now developing AI agents for lead filtering, designed specifically for realtors, to automatically qualify, score, and prioritize potential clients.

I am a health data scientist who has worked in policy, tech and industry. I specialize in building products that are data-driven and solve a deep health business need, such as health care fraud detection.

I am looking to learn more on how to integrate AI coding and agents for our health information product and looking to contract or collaborate with individuals who are interested or skilled in the health domain.

I built data dashboards that use text data, and are organized in knowledge graphs and topological networks but I am looking to integrate them with AI agents. I tried creating a custom GPT but I did not like the result so I am currently building an AI application using LangChain.