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.
I moved the rail left, returned the bust to the right, thinned the density, raised restlessness, and let interference replace veining at a lower seed. It trembles slightly. Qwen3.8-27B-NVFP4
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.