Team
Vet My Homes
This team is at maximum capacity.
Project Concept
A team of agents to do due dillegence checks on properties you’re considering buying. Surfaces all the data that your Real Estate Agent cannot legally tell you to give you the confidence to select the perfect house for you.
Entry
Status: Submitted
Last saved: May 18 at 2:28 PM PDT
Team Roster (team is at max capacity)
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Ty Fiero Team Lead RSVP Approved
Applied Evals at OpenAI
Ty Fiero Ty setup the Copilot kit frontend project, the main project site, and setup deployment hosting from Railway and vercel
Building, iterating, and playing with the latest and greatest AI models. Formerly founding engineer of Open Interpreter and founder of Regia Labs. Currently doing Applied Evals at OpenAI
Generative UI, LLMs, Open source, multi agents, ambient agents
Prompt optimization, context engineering, multi agent architectures, generative UI.
Deepansh Gandhi RSVP Approved
Student at Northeastern University
Deepansh built a local amenity agent to match properties with user lifestyle preferences (e.g., gyms, bars), a summarization agent for a final summary of all houses and a chat crew to handle follow up Q&A
I am currently pursuing my Masters in AI at Northeastern University. I have 3 years of experience in software development and machine learning. My broader professional background includes experience developing RESTful APIs, building machine learning models, and creating robust backend services to deliver end to end user experiences.
I’m interested in applied AI, especially building reliable LLM based systems. I’d love to connect with others working on AI tooling, agentic workflows, or anything at the intersection of AI and real world impact.
Most recently I completed a 6 month internship at Staples where I worked on an AI driven item matching platform to compare our products with competitors. I also built a Text2SQL system that converts natural language into SQL queries, cutting query dev time by 40%.
Foad Green RSVP Approved
Software Engineer at Nava PBC
Foad Green Foad setup the initial FASTAPI implementation used by the rest of the team as well as worked with Ty to build out the frontend using the CopilotKit framework.
Software engineer developing AI applications
Building full-stack generative AI applications for information retrieval, conversation, and multimodal
AI agent systems, auto-labeling for SFT and reranking, RAG, streaming (WS, SSE), Typescript
Sam hesson RSVP Approved
Eng Manager AI Agents Incubation // founder & fCTO and co-founder at Meta // Nanome
Sam Hessenauer Sam built out the GEO analysis backend named 'geodeeper' and corresponding CrewAI agent. It takes in an address in Washington and does analysis for environmental risks. The CrewAI agent first does a quick risk score on risks such as earthquake, landslide, flood, wildfire, hurricane. If it sees a bad looking score, it will go figure out what additional deeper data is available for that specificrisk and retrieve and summarize it on demand. The agent decidese if/what to do given the risk scores and self-selects the relevant data to surface to the user and summarize in plain english. Turns out, his house is in a high risk area for earthquakes, merp.
VC-backed Founder/CTO of a TechBio B2B SaaS company. Currently build AI Agentic systems for chemistry and drug discovery. Previous product-line includes collaborative VR/AR Molecular Modeling tool used by 17 of the top 20 pharma.
AI Agents and early-stage entrepreneurship.
Currently building MARA: Molecular Analysis and Reasoning Assistant (https://nanome.ai/mara/). An AI Multi-Agentic system for pharmaceutical scientists to orchestrate complex workflows and automations.
Rolf Skog RSVP Approved
Senior Software Engineer at HouseWhisper
Rolf Skog Rolf built out a significant amount of the initial CrewAI implementation and crew manager which set the implementation pattern for the rest of the team to use. He also built out the core property search and details tool capabilities as well as a map tool that overlays fault lines and the property location on a map image.
This software engineer has held various roles at top companies including Convoy Inc and Amazon, working with technologies like TypeScript, Machine Learning, Java, and Distributed Systems. Previously, they interned at TeamCore Solutions and Amazon, focusing on data analytics and IoT. They hold a Bachelor's degree in Computer Software Engineering from Pontificia Universidad Católica de Chile. Currently employed at an AI startup creating productivity tools for real estate agents
Improving LLM results by using different strategies, like prompt engineering, fine tuning or others
How to create more efficient models to reduce costs and improve runtime performance
Currently working on creating an agentic workflow to communicate with customers via sms and phone calls to interact with their CRM data (retrieval and posting)