MA

MUHAMMAD ATASHI

I engineer the boundary between model capability and software authority.

AI infrastructure and AI systems engineering are the primary identity. ML platform and LLM engineering are the supporting depth.

The work concentrates on inference economics, behavioral evaluation, agent authority, runtime execution integrity, evidence governance, and operational reliability.

OPERATING MODEL

Engineering discipline around probabilistic systems.

01

Narrow the authority

Models interpret and generate; deterministic software decides what may execute.

02

Design the failure state

Retries, unknown outcomes, stale policy, missing evidence, and partial execution are first-class architecture.

03

Make claims falsifiable

Evaluation gates must be able to reject the preferred result.

04

Keep boundaries visible

Private source, client IP, synthetic evidence, and unsupported generalizations stay explicit.

CONTACT

Direct channels.

Research direction →