NIEB HASAN NEOM / AI SYSTEMS

AI systems for networks and distributed infrastructure.

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.

PORTFOLIO / EVIDENCE-MAPPUBLIC-SAFE
01Researchclear questions
02Systemsbackend practice
03Evidenceapproved claims
FOCUSAI + NETWORKSMETHODMEASUREDSTATUSACTIVE
CURRENTPHD RESEARCHRESEARCHAGENTIC WORKFLOWSSYSTEMSNETWORKINGEXPERIENCEBACKEND ENGINEERING
THE ENGINEERING THESIS

Make AI behavior inspectable at the system boundary.

My work connects guarded model execution, adaptive data movement, and backend reliability. The evidence matters as much as the output.

01

Define the question

Explicit scope, evaluation criteria, and limitations before results.

02

Measure the system

Controlled evaluations, reproducible methods, and results separated from unsupported claims.

03

Ground the claim

Every public fact maps to reviewed evidence and an explicit approval state.

Research in progress

Agentic Data Transfer Optimizer

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

Inspect the active workstreams