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AI Tinkerers - New York City
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Team

Guardian

Project Concept

i put this on hackathon message board

Looking to build an AI-powered assistant designed specifically for the elderly—helping them stay on top of medications, bills, birthdays, and appointments, while also advising on scams, clickbait, fake prizes, and confusing digital interfaces. More than just a reminder system, this assistant would offer conversational support and the ability to trigger emergency calls for help when needed.

Tech stack ideas: a local 3B LLM, voice API (maybe OpenWebUI), and RAG with web search for real-time scam detection. Ideally, a lightweight DB for storage and an intuitive UI for easy interactions. I’ve built similar systems as CustomGPTs but want to take this further. Anyone interested in collaborating? Looking for folks into LLMs, voice interfaces, UX for accessibility, and backend dev!

Entry

Status: Submitted

Last saved: February 16 at 1:06 PM EST

Team Roster

Message board not available for this team yet.

Frank Yu Team Lead RSVP Approved

Co-founder at BlackChamber.ai
Prompt Engineer
Frank Yu is a seasoned game developer and technical product manager with extensive experience in AI and entertainment technologies. As the Chief Product Officer at Ghostdog Systems, Inc., he focuses on innovative projects including agentic frameworks with local large language models. With over 12 years in the tech industry, Frank has a diverse background spanning game development, product management, and AI integration. He holds degrees from Harvard University and Rutgers University, and has studied at the US Army Intelligence Center and School. Frank is passionate about bridging technology and human potential, with expertise in areas like blockchain, Web3, and community building.
agentic frameworks, local LLMs, game development, AI integration, blockchain, Web3, tokenization, entertainment technologies, ethical AI development
Agentic frameworks with local llms emphathic ai

George Biamonti-Marchwalden RSVP Cancelled

Chief Operating Officer at Bellator Systems
research
George Biamonti-Marchwalden is a Co-Founder at Bellator AI, where he is pioneering agentic AI platforms. With over 6 years of experience in various analytical and strategic roles, he has held positions at Fiserv and POSi Energy - Silicon Power. George earned a Master of Literature in Philosophy from the University of St Andrews and has a background in Management and Philosophy. He has also contributed to charitable works through the Order of Malta during the pandemic.

Kamila Hoe RSVP Approved

Designer, Marketing and Go to market Strategy, activations at Kamila Hoe
Lead Design
Hi, I’m Kamila Hoe—an artist, storyteller, and business strategist working at the intersection of art, technology, and business. Raised in a multicultural, multilingual household, I blend influences from my cross-cultural upbringing into enterprise software, entertainment, and branding. I believe in using technology to amplify human creativity through design, storytelling, and partnerships. Beyond business development, I’m also a commercial model, poet, and speaker, sharing insights on AI, personal branding, and creative storytelling at global conferences. I help startups and creators craft compelling narratives that attract funding, sponsorships, and strategic partnerships.
Wearable tech, AI x culture, Web3 adoption, startup advisory, creative business models, venture building, and cross-industry partnerships. Looking to connect with founders, companies, and investors seeking innovative ways to merge technology and human connection.
I’m building a wearable tech jewelry brand that enhances human connection by merging fashion, technology, and storytelling. I’m also expanding my content creation work across AI, Web3, culture, and design, crafting narratives that bridge industries and spark I consult for startups and brands on storytelling, business strategy, and partnerships, helping them scale with clarity. My work is in public speaking, modeling, and acting, allowing me to explore human expression across different mediums

Sean Kerr RSVP Approved

Founder, Interim CEO at email me
Product Lead
Founder of Novawerke AI. Former Defense Intelligence Agency contractor with experience in constrained, mission-critical systems. Focused on AI systems architecture for resource-limited environments — specifically how perception, memory, and adaptive behavior can be structured to operate reliably without cloud dependence. Working primarily in Python and PyTorch on edge-targeted deployments.
On-device AI systems Reinforcement learning under real-world constraints Modular reasoning architectures World models for edge systems Energy-efficient ML Robustness and graceful degradation
Abbie — A Modular On-Device AI Architecture Building a modular AI system designed to operate entirely on-device under strict power, compute, and latency constraints. The architecture integrates local perception, persistent memory, and adaptive decision-making without reliance on cloud infrastructure or large language models. Currently developing a Minimum Viable Brain to validate hierarchical control, hub-and-spoke latent interfaces, and reinforcement-driven adaptation on edge hardware.

Tirth Mehta RSVP Approved

Software Developer at Barclays
research
I was born and raised in India, where I completed my initial schooling. With a strong passion for technology, I pursued a bachelor's degree in computer science, which sparked my fascination with machine learning and deep learning. Inspired by their transformative potential to improve lives globally, I decided to deepen my expertise through a master's degree at Stony Brook University, NY. During this journey, I discovered the power of transformers and GPT models, igniting a lifelong drive to learn more and contribute to advancements in this exciting field.
I am passionate about building enterprise-level, production-ready AI applications, particularly in the financial sector. My focus is on leveraging AI to simplify complex processes, enhance decision-making, and boost productivity. I am especially interested in creating innovative solutions that drive efficiency and deliver measurable impact.
A state of the art Adaptive, Self-Reflective, Chain of thought, and Agentic RAG solution designed for IB Sales and Trading teams, enabling users to ask questions and receive actionable insights based on: Trading Data, Research reports and other forms/sources of data.

Pavani Nerella RSVP Approved

Software engineer at Self
Lead Developer
I’m an engineer with a passion for making AI more responsive, insightful, and genuinely useful. As a CS grad from Brown University with a background in machine learning and AI, i’ve built everything from intelligent search pipelines to interactive AI tools that power decision-making. I love tackling complex problems that require both technical depth and creative problem-solving. Whether it's real-time inference, multimodal interactions, or AI for social good, I’m always looking for new ways to push the boundaries of what's possible. I thrive in fast-paced environments where I can experiment with new ideas. Beyond engineering, I’m passionate about AI ethics and in my free time, I enjoy writing, photography, and exploring new ventures to get a headstart on my entrepreneurial pursuits.
I'm looking to build hands-on expertise in machine learning , particularly in real-time inference and improving AI's contextual understanding. I'm eager to dive deeper into efficient LLM inference, learn more about optimizing ML models, reinforcement learning, and deploying AI in production environments. I’m also very eager to team up with creative minds that are looking for co founders/ tech leads with technical knowledge in the AI space.
A few recents I'm working on are a real-time voice powered AI assistant that helps users navigate language barriers by providing context-aware, high-accuracy translations in text and chat-based interactions. Another is a crypto insights dashboard that tracks pre-market trends, using AI-driven reasoning to generate actionable insights. The dashboard processes and detects sentiment shifts, identifies key market movements, and delivers real-time trading recommendations for better decision-making.

Braden Starcher RSVP Approved

Computer Vision Scientist at Baker Hughes
Real Time API and Agentic conaole
Focused on computer vision solutions in industrial settings. Educational background is in computer engineering. I love skateboarding. :)
Computer vision, edge computing, Linux
AI vision models, embedded, IoT and AI at the edge