Open to AI-safety and ML roles Hyderabad, India --:-- IST

Mohammed Faisal Parvez

AI Safety & Machine Learning Engineer

Builds systems that decide when a signal is trustworthy enough to act on. Model auditing and interpretability, benchmarks that publish their failures, and bounded-autonomy controllers from GPU processes to accounts payable.

PROBE ACTIVE
0 1 1 false positive rate true positive rate
Decision Boundary Threshold (τ) 0.50
True Positive100%
False Positive100%
DiagnosticDRIFT
AUROC 1.00 — probe separated fine-tuned model from base perfectly. It was detecting fine-tuning drift, not a secret loyalty.

Lab · Dark veil

A neural-network-generated field (a CPPN evaluated per pixel) with faint scanlines. Organic and slightly uneasy, which suits a site about probes that lie.

Source and licence
react-bits DarkVeil (GLSL CPPN, verbatim) on a raw-WebGL host, rendered at 60% resolution. MIT + Commons Clause. Listed in LICENCES.md.
JavaScript on this page
11.6 KB gzipped for the effect, 79.5 KB in total. The home page carries 68.0 KB.
Reacts to
time; hue-shifted 35° from the CPPN's native violet toward the site's blue.
Off-screen, hidden tab, reduced motion
Paused, paused, one still frame.