September 2026—Present
Linderman Lab
Undergraduate ML Researcher
In collaboration with Stanford's NPTL and SAIL, developing neural-state models to predict latent-space drift in brain–computer interfaces for more robust decoding.
Manraj Mondair
Hello, world—I’m Manraj. I’m a student at Stanford pursuing a B.S. in Electrical Engineering. I build intelligent systems at the intersection of computing and the brain, with a broader interest in how computing can interface with, emulate, and augment human intelligence.
Selected work
Noema
An action-conditioned neural world model for streaming decode, imagined rollouts, and few-shot adaptation.
Zippr
On-device decoding from 64 neural channels to seven commands for a six-DOF robotic arm at ~106 ms.
BCI Identity Leakage
A 33-experiment benchmark of subject re-identification in EEG decoders and defenses under adaptive attack.
Neuromorphic BCI
Spiking motor-cortex decoders leading the event-budget frontier at modeled 40–500× lower energy.
Reward Hacking Evals
A training-free, three-point loop suppressing reward hacking across four text-space optimizers, backed by 180 tests.
Stimli
A deployed creative decision system with multimodal comparison, brain-response inference, and auditable history.
Experience
June 2026—Present
Stanford Palanker Lab
Undergraduate Researcher
Engineering PRIMA's VR simulator and advancing its image-processing pipeline with machine learning and computer vision.
June 2026—September 2026
Slack
Software Engineer Intern
Built an LLM-powered, multi-agent release system that risk-classified PRs and automated low-risk canary deploys, cutting deploy queue time 35% and rollbacks 25%.
2024 Coca-Cola Scholar 150 of 103,800+ applicants · ~0.14%President’s Lifetime Achievement Award 4,000+ service hours