Team
Cibo
This team is at maximum capacity.
Project Concept
Cibo is a food scout agent: The Conversational Dietary Ordering Assistant
Entry
Status: Submitted
Last saved: December 11 at 9:30 PM EST
Team Roster (team is at max capacity)
Message board not available for this team yet.
Syed Shah Team Lead RSVP Approved
SWE at Stealth AI company
Managed an designed the system and provided guidance to each team member to build full product.
A Software and AI Engineer with a foundation in Electrical Engineering, having over eight years of experience in IT, full-stack development, and systems architecture. Currently working on an AI company, designing and building agentic infrastructure that integrates real-time analytics, generative AI, and autonomous workflows, with a focus on scalable backend systems and AI safety.
AI/ML, Generative AI, scalable backend systems, distributed microservices architectures, full-stack system design, real-time analytics, autonomous workflows, AI safety, MLOps, prompt engineering, multi-model orchestration, TDD, DDD principles, cloud infrastructure, containerization
Projects involve full-stack system design using Python, TypeScript, Go, and Node.js using cloud infrastructure and containerization. Active work includes implementing distributed microservices architectures and integrating Generative AI models to enhance platform capabilities and performance.
Div Agarwal RSVP Approved
Founder at Gunas
Handled creation of agents layer on ElevenLabs and connected to a Twilio phone number for the outbound call to a restaurant (simulated to call Syed since that is a verified number to call to for demo purposes).
Hi, I am Div, I am problem solver, solution creator. I have been working with AI for tasks like Computer Vision, Neural Data, LLMs and create deliverable software products using modern tech stacks.
Machine Learning & Deep Learning (3+ years) – Built LSTM, optimized computer vision models for embedded systems,
LLMs & GenAI Systems – RAG systems, prompt engineering, fine-tuning, multi-user isolation, and building agentic/automated AI pipelines using FastAPI, Celery, and AWS services.
Cloud & Distributed Systems – Built serverless AWS pipelines (Lambda, S3, SQS, Rekognition, OpenSearch
Data Science & Analytics
Working on a few AI based and blockchain based products.
- https://divyansh7877.github.io/myPortfolio/
- https://github.com/divyansh7877/RAG-LLM-TC2
- https://neuro-window-explorer.vercel.app/
- https://github.com/divyansh7877/debt-collector
- https://divyansh7877.github.io/myPortfolio/blog/Behvaioral-Analysis
Shubham Jain RSVP Approved
Student at Stevens Institute of technology
Built to n8n layer and connected to Div's ElevenLabs agents and Christopher's UI Client and DB integrations.
Shubham Jain is a Graduate Student in Applied Artificial Intelligence at Stevens Institute of Technology, with a background in Electrical/Electronics and Communications Engineering. He is open to new opportunities and has 3 years of experience.
Christopher Ren RSVP Approved
AI Product Manager at Hatchify, Inc.
Handled the client side and oAuth for project.
Christopher Ren is an AI Product Manager at Hatchify, Inc., based in New York, New York. With three years of experience in product development, he previously served as a Product Manager at Reality Defender. Ren earned his degree in Business and Political Economy from the NYU Stern School of Business, grounding his approach in both strategic analysis and market insight. At Hatchify, he focuses on integrating artificial‑intelligence solutions into product strategy, driving innovation and user‑centric design while collaborating across engineering, design, and business teams. His blend of technical acumen and business education supports his commitment to delivering impactful AI‑powered products.