Saksham Gupta
Systems that keep breathing after you close the laptop.
Senior AI Engineer · Los Angeles, CA
View the collection Read the dossierI build systems that have to survive contact with reality: agentic workflows over millions of documents under latency SLAs by day, and by night simulators and reinforcement-learning environments where the reward is checked by an oracle rather than judged by a model.
Most of what is below runs on one NVIDIA DGX Spark under a desk in Los Angeles. This website is on Railway, but it phones that machine every hour and lets it redecorate.
Operated without an operator. Spinal, not considered. reflex
Four things that run
HPC Cluster Simulator
A drag-and-drop, gamified training environment for building and operating GPU clusters. Trainees design a cluster, run workloads against it, break it, and learn why it broke.
The Immortal Daemon
An RL environment where the agent must keep a realistic cloud application alive while chaos batters it — and every reward is machine-verifiable, not judged by a model.
legal-financial-modernbert-150m
A 150M-parameter ModernBERT encoder trained from random init — no pretrained checkpoint, no distillation — on public legal and financial documents, then turned into a Matryoshka embedding model whose vectors truncate without retraining.
Populace
A world-scale persona simulation: grounded personas on a real globe living daily routines and reacting to events, with a language model authoring what each kind of person makes of the news and a Go engine doing the per-capita work.