Do your in one prompt.
Describe the outcome you want. Clusy helps source data, inspect it, select architecture and compute, then execute end-to-end.
Our team
Built by a small technical team with research depth.
Ju Lin
Member of Technical Staff
Agent, UI/UX & workflow
Currently
- MSc Computational Engineering @ Imperial
- Research @ Imperial (Energy Futures Lab)
- Full Stack @ Queen’s Lane Consultant
Previously
- Aeronautical Engineering @ HKPolyU
- Co-founder @ EmoBay Limited
- Research @ HKPolyU (IPN Lab), UGent (STFES)
- Intern @ Lifesparrow (Forbes 30u30)
Eldar Hasanov
Member of Technical Staff
Infra & security
Currently
- MSc Computing (Security & Reliability) @ Imperial
- Research @ Imperial (LSDS Lab)
- Research w/ NVIDIA
Previously
- Computer Science @ UC Berkeley
- Project Lead @ Berkeley CS Ed Group and ACE Lab
- Research @ USC (ISI) and NASA (Stardust Mission)
- Intern @ 1PR and Anthems Music Sharing
Fouzil Ali
Member of Technical Staff
Product & ML
Currently
- MSc Computational Engineering @ Imperial
Previously
- Associate @ HSBC CIO HK office
- Technology @ HSBC
- Research @ HKUST
- Computer Engineering @ HKUST
- Intern @ Set Sail A.I.
Product
How it works
A compact case study: ask Clusy to finetune a model, queue a follow-up while it works, then watch the notebook execute and return a result.
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