aarush gupta
I spend my most of time building The Silicon Valley Brain Company, working on models to read your mind, backed by Google AI. We recently released Cerebrum.
I split my free time doing research at Cohere for AI and leading Celeritas Research.
Previously, Google and stealth startups.
I love to help organize events and hackathons. I play volleyball, read (primarily philosophy and fiction), audit courses at Stanford, and hack in San Francisco.
I use Twitter as a log for new things I work on. Reach me there or at [email protected].
Mo Yan
projects
The most advanced open-source matching engine for financial trading systems. Supports more trading scenarios than some production systems and includes a client library.
A mini vector database implementation for educational purposes. Sub-linear time complexity on searches and locality-sensitive hashing for storage.
A really efficient, conservative mark-and-sweep garbage collector for C. Realistically, not for optimizing software but more so for beginners to the language.
A language-dependent operating system in Rust, built to be the easiest system to add new architectures to.
A collection of AI agents built from scratch for a set of popular high school AP textbooks, with infrastructure and MLOps from scratch. 1,000+ students and 24,000+ queries/month in ~1.5 months solely from word of mouth.
A collaborative work platform and forum over Google Classroom. Built at Google in summer 2023.
research
Our first publication at SV Brain, releasing Cerebrum, a novel and open-sourced framework that combines biologically inspired neuron models with graph neural networks to simulate and infer synaptic connectivity in large-scale brain networks — basically, recreate your brain.
writing
A comparison of philosophies and implications of true free will. Explores whether we are the architects of our destinies or if our choices are mere illusions shaped by forces beyond our control in an increasingly deterministic universe.
A reflection on how mortality shapes our understanding of purpose. Examines the enduring question of life’s meaning through the profound lens of human mortality.