Define the question
Explicit scope, evaluation criteria, and limitations before results.
Computer Science PhD Student | AI Systems for Distributed Systems & Networking | Backend Engineering
I’m Nieb Hasan Neom, a Computer Science PhD student and Kummer Doctoral Fellow building AI systems for distributed systems and networking. My work combines guarded LLM orchestration and agent-driven data movement with three years of backend engineering.
My work connects guarded model execution, adaptive data movement, and backend reliability. The evidence matters as much as the output.
Explicit scope, evaluation criteria, and limitations before results.
Controlled evaluations, reproducible methods, and results separated from unsupported claims.
Every public fact maps to reviewed evidence and an explicit approval state.
A state-aware orchestration layer that extends LLM function calling with explicit workflow semantics so domain scientists can invoke trained prediction models through constrained natural language.
A bounded agentic system that adapts network-transfer concurrency from live TCP telemetry while making every recommendation, constraint, and state transition inspectable.
Prototype implementedEvaluation in progress