Team
Warriors
Project Concept
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Status: Submitted
Last saved: February 21 at 6:20 PM PST
Team Roster
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Marzieh Nabi Team Lead RSVP Approved
Research at Stanford
Marzieh -
Shared: Architecture design, FunctionGemma integration, and performance optimization
Primary Focus: Model optimization, cactus compute integration, on-device processing pipeline
Specific: Gemini API implementation, cloud fallback system, and structured tool definition conversion, voice agent demo with whatsapp
Marzieh Nabi is a Researcher and Technical Product Manager at Stanford University. With over 15 years of experience, she holds a PhD in Distributed Space Systems from the University of Washington and has pursued executive education at Stanford GSB.
Arhant K RSVP Approved
Software Engineer at Solo Tech
Shared: Architecture design, FunctionGemma integration, and performance optimization
Primary Focus: Regex extraction engine, type-driven argument parsing, validation logic
Specific: Parameter reconstruction systems, timing analysis, and benchmark testing implementation, managed git repo (merging branch PRs to main)
Early AI & SW Engineer with experience in full-stack dev and computer vision ( < 2 YOE). Passionate about startups and agentic AI (both as related to bits & atoms).
Voice agents, fine-tuning models, physical AI, video diffusion
Incorporated voice agents locally with cloud escalation as necessary. Working on full-stack applications involving SLMs. Tinkered with ML for computer vision with VLAs and VLMs. Previously used RL for information theory project involving age-of-information in erasure channels.
Mehrdad Khanzadeh RSVP Waitlisted
Founding Engineer at Baton AI
Absent
I'm an ex-Founder and a current Founding Engineer harnessing AI on every possible front to maximize it's potential.
AI Agents, automation, dev tools, etc.
I'm building our AI systems in Baton.
Sneha M RSVP Approved
ML Engineer at Ambient Scientific
Shared: Architecture design, FunctionGemma integration, and performance optimization
Primary Focus: Hybrid routing, traffic shifter algorithm, adaptive edge/cloud shift learning
Specific: Traffic shifter outcome tracking, convergence analysis, and multi-phase execution flow orchestration, new benchmark tool testing from huggingface dataset
Currently interested in constraints with edge AI model development, foundation models and robotics.
Robotics
Computer Vision
Foundation Models - VLM, VLA
Edge Inference Techniques
Multimodal architectures for edge AI inference