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Humans-in-the-Loop Agents Hackathon

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Team

ComPro

Project Concept

Assessing regulatory compliance is a compelling use case for using GenAI. We will use gemini to help determine which company docs address a given regulation and provide a compliance judgement.

Entry

Status: In Progress

Last saved: November 03 at 2:01 PM PST

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Team Roster

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Sahil Shah Team Lead RSVP Approved

ML engineer at Aws
ML
Currently an ML/AI engineer with AWS Building and delivering AI/ML production outcomes for the top 40 AWS accounts. Leveraging cutting edge technologies in ML engineering and data science to power GenAI implementations at F500 enterprise scale. Previously, I co-founded a company delivering IoT solutions for the logistics and transportation industries, ranging from billion-dollar ride-sharing startups to traditional, long-haul incumbents. Additionally, I served as an Engineering Lead at a hybrid IT infrastructure system integrator, serving some of the world’s largest municipalities and F500 companies. I graduated from UIUC and USF with Bachelors and Masters degrees in Systems Engineering and Data Science, respectively. Avid outdoorsman and musician, love working with new cultures
Interested in meeting other people building in the space, learning from them, brainstorming about gaps, collaborating, and creating the AI boom community in SF
Building novel gen Ai powered document extraction capabilities

Derek Gomez RSVP Approved

Co-Founder at Veida AI
UI
Hi, I'm an AI software engineer based in San Jose and I'm passionate about leveraging technology to improve peoples' lives and make a positive difference. My processes and strategies are informed by my experience in launching a genAI edtech product, freelancing web dev for 2 years, and a BA in game design.
AI agents, Human in the Loop, Data Visualization, Custom Model Training, Retrieval Augmented Generation
Using genAI to empower students to generate flashcards, notes, and quiz questions from lecture content. https://veidaai.com

Andres Nino RSVP Waitlisted

CEO at Vibeco.ai
Building Vibeco.ai
Coding ai agents
Vibeco.ai

Jeff Wang RSVP Approved

Software Developer at Booz Allen Hamilton
Backend
Jeffrey Wang is a dedicated Software Developer at Booz Allen Hamilton, with a strong passion for AI, engineering, and teamwork. He has experience working in collaborative AGILE teams, focusing on Deep Learning, Computer Vision, NLP, DevOps, Full-Stack, and Mobile App Development. Jeffrey holds a Bachelor of Science in Computer Science from Clemson University and a Nanodegree in Deep Learning from Udacity. With two years of experience, he has contributed to impactful projects at both Booz Allen Hamilton and MITRE, leveraging technologies like Docker, Flask, and machine learning frameworks such as PyTorch. In his free time, he enjoys exploring deep learning to create innovative solutions.
AI, Deep Learning, Computer Vision, NLP, DevOps, Full-Stack Development, Mobile App Development
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