AI Tinkerers Hackathon Team Formation - Google DeepMind x Cactus Compute Global Hackathon
AI Tinkerers - San Francisco
Final round winners have been announced. View Results

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Browse Teams (51)

Name Description Team Status
magnet
Team led by an AI Engineer proficient in Python, TypeScript, and GGUF, specializing in machine learning models and building accountability agents.
Sam Sam Shiran Wang Sam Yi
Accepted
IST_Lord
Team led by an ISAGI founder and ML Research Engineer (ASU/Concordia MS) specializing in LLMs, computer vision, and Python-based AI agents.
Istasha Aminan
Accepted
Doozy
Team consisting of an ex-Amazon SDE and Harvard CS founder skilled in AWS serverless/AI agents, paired with a Pratt-educated systems thinker and UX researcher.
Andrew Wang Daisy Meng
Pending (1 of 2)
absolute_send
Team led by a UC Berkeley AI researcher skilled in TensorFlow, TinyML, and normalizing flows, with environmental remote sensing expertise and a startup exit.
Veer Mehta
Accepted
Warriors
3rd Place
Team consisting of a Cornell aerospace PhD, a Stanford researcher, and startup founding engineers skilled in edge AI, robotics, full-stack, and on-device voice agents.
Marzieh Nabi Arhant K Mehrdad Khanzadeh Sneha M
Pending (1 of 4)
Lightning_Strikes_Again
Team consisting of AI and software engineers from Rattle and IT Solutions with MS degrees from ASU, IIIT-H, and Texas Tech, specializing in Rust, Python, AWS Bedrock, and RAG pipelines.
Aditya Madabhushi Pooja Appalla Pranav Reddy Gudipati Prudhvi Mutyala
Pending (1 of 4)
NeverTouchedGrass
Team led by a Santa Clara University AI Researcher skilled in multi-agent systems, computer vision, Python, and AWS for wildfire prediction and autonomous lead generation.
Abraham Bhatti Rishit S.
Accepted
random
Team led by an LLNL intern and 5x hackathon winner with a UC Merced CSE degree, specializing in TypeScript, Python, Solana, and full-stack AI.
Akhil Devarasetty
Accepted
CortexaAI
Team led by a Google AI software engineer and IIT Bombay CS grad specializing in Gemini integrations, C++, and shipping large-scale productivity tools.
Shudhatma Jain
Accepted
Oreo House
Team consisting of NUS and Stanford alumni with AI engineering, quant research, and backend experience at Binance, TetraMem, and PodPitch, skilled in Python, C/C++, and FastAPI.
Nihaal Manaf Chen Lexin Om R. Team member
Pending (1 of 4)
CGO
Team led by a YC founder and CTO alongside a Waterloo CS founding engineer, specializing in on-device LLMs, agentic RAG, computer vision, and C++/Python.
Jordan Hodali Jack Hall
Accepted
vector
Generating summary...
Ali Ahmed
Accepted
test_sf
Generating summary...
Sai Kumar Kattera
Accepted
Kafka
Generating summary...
Nikhil
Accepted
q_star_agent
One-man one-agent. Let's go.
Quilee Simeon
Accepted
cheesecake
Team led by a JetBuy Founding Engineer and NYU MS CS/Stern grad skilled in Rust, Python, FastAPI, and production LLM/medical imaging pipelines.
Aditya Suresh
Accepted
SatNav
Team led by a Caltech alumnus and Adobe ML Engineering Manager with deep expertise in local RAG, Python, Swift, and on-device copilot development.
Daniel Pang
Accepted
CleverBuildAI
Generating summary...
Henry Kendall
Accepted
SFLocal
Generating summary...
Zac Saber
Accepted
LowLatency
Generating summary...
Jason Lobo Yuvraj Bhatia
Pending (1 of 2)
FAT BOSS (REALLY FAT)
Finalist
Team consisting of Stanford, UCSC, and SUNY CS alumni, including founding engineers and a security CEO, skilled in PyTorch, Python, Go, and cloud-native microservices.
Ryan Cruz Pratik Gurung Vignesh Gunda Simon Wijckmans
Accepted
Sahara
Team consisting of UC Berkeley and IIT Madras grads from Amazon Frontier AI, Tesla, and NLR, specializing in VLM/VLA robotics, physics-based AI, and healthcare ML.
Rangeesh Venkatesan Harish Panneer Selvam Sanjana Gajendran
Accepted
magicflow
Generating summary...
Jaidev Shah
Accepted
QA Agent
Team consisting of an Apple Sr. SDET and an HPE Sr. Cloud Manager skilled in Python, MCP, agentic frameworks, and CI/CD pipelines.
Prateek Kapoor Nipun Gupta
Accepted
bots
Generating summary...
Leandra Tejedor
Accepted
cloudNein
2nd Place
cloudNein empowers CFOs with instant, private financial AI using on-device FunctionGemma and anonymized cloud reasoning to protect sensitive data.
Ian May Christoph Albrecht Ridvan Sibic
Accepted
SupportVectors
Generating summary...
Patrick Damaso
Accepted
Bouncer
Team consisting of an Adobe ML Engineer (USC MSCS) and a Microsoft AI Security TPM, skilled in PyTorch, agentic LLMs, fine-tuning, and secure GenAI.
Chris Chavez Sebastian Escalante
Accepted
G2G
Team of NUS Computer Science builders and startup co-founders skilled in full-stack engineering, agentic ML workflows, LLM fine-tuning, and TypeScript/Python systems.
Simantak Dabhade Jared Ee Farhan Navas Rahul Mallavarapu
Accepted
DeepCortex
Generating summary...
Vidushi verma Saurabh Khire Vince Russo Shreya Akotiya
Pending (1 of 4)
yurko
Generating summary...
Yurko Turskiy
Accepted
YOO
Your Omniscient Other
Fadi Al Zuabi
Accepted
ZeroLatency
Team consisting of a Centific Full Stack Developer skilled in Python, asynchronous LLM orchestration, voice AI (Deepgram, ElevenLabs), and Twilio API integrations.
Mohammed Adnan
Accepted
Sagacious
Team consisting of an Assembled algorithmic engineer (PhD, Operations Research) and a Google systems engineer, specializing in mathematical optimization, Python, C++, and AI agents.
Sharad Bagri Antony Phillips
Accepted
EdgeSense
Our local-first assistant uses hybrid edge-cloud routing for private, real-time multimodal perception and guidance using agentic workflows.
Aliya Tazhibayeva
Accepted
cactus-tus-tus
Generating summary...
Tatiana Ushakova
Accepted
Mavericks
Finalist
Team led by a Nutanix Senior PM and ex-Intel/AMD engineer with 20 years of experience, specializing in full-stack Next.js, Python, and agentic AI integrations.
Sachin Keswani
Accepted
GemiSupport
Generating summary...
Heidi Wu
Accepted
dronomy.io
Achieve 85.6% accuracy with our 600ms on-device FunctionGemma 270M Hybrid Hawkes Router; we’re grateful to share this progress.
Suvasis Mukherjee
Accepted
hoony
Finalist
Team led by an Amazon Applied Scientist with an MS in Data Science from Michigan, specializing in NLP, ASR, and Python-based ML systems.
Chung Hoon Hong
Accepted
Max Health
1st Place
Team led by two technical founders (TUM/Johns Hopkins) specializing in FHIR health-tech, AI agent swarms, LangGraph, and OpenAPI/FastMCP infrastructure for deep-tech startups.
Maximilian Nussbaumer Mike rice
Accepted
Mingle
Finalist
Team consisting of a Stripe SWE and Apple Senior Applied Scientist with CS and Data Science degrees from UT Austin and Duke, specializing in RAG, PyTorch, and agentic systems.
Siddhi Bansal Hannah yan
Accepted
Redact
Team led by a physics PhD candidate and AI engineer with experience at Shippo and Xealth, specializing in multi-agent RAG, Python, and custom developer tooling.
Krishna Thapa
Accepted
jr0.org
Team consisting of an incoming Sunday Robotics full-stack engineer and UC Davis CS graduate with deep expertise in Rust, systems design, and ReDoS research.
Jake Roggenbuck
Accepted
we need food
Team consisting of a Fox Senior SE (ex-PayPal/Riot) and a UCI CS researcher specializing in agentic systems, Python, Go, Kafka, and multimodal ML pipelines.
Robert Ji Derick Rentz
Accepted
Garrick
Team led by an Algoverse AI researcher with 15+ years of experience in C++20, PyTorch, low-latency multimodal pipelines, and quantitative finance.
Garrick Pinon
Accepted
cactusRescue
Generating summary...
Vivek Shukla
Accepted
Socials
PrivacyLens protects creators by scanning videos on-device to detect sensitive visual and audio data with timestamped alerts before uploading.
Jidhnyasa Mahajan Akshay Aralikatti Srushti Jagtap
Accepted
e
edge device "first-aid kit" modular offline information
Erik Brinsmead
Accepted
Boys From Bangalore
Team of Microsoft and former Amazon engineers with MS degrees from ASU and UT Dallas, specializing in RAG, multi-agent systems, FastAPI, and AWS/Azure deployment.
Suprad Parashar Dhanush Gowda S Mallikarjun Nagaraja SHREEVERSHITH KOLLABETTU
Accepted
Confidence Bandits
Team led by a KernelPro founder and ML engineer with 14 years of experience optimizing LLM inference, building PyTorch/PySpark pipelines, and deploying multimodal vision models.
Lily Su
Accepted