Portfolio

IT & Data Science Projects

From high-availability server management to deep learning research applications

01

Benchmark Leaders, AGI Laggards: A Capability-Level Comparison of GPT-5 and Gemini 2.5 Pro

Abstract—Artificial General Intelligence (AGI) is among the
boldest goals in computer science. However, there is still no clear
agreement on how close existing systems are to achieving it. This
paper provides an in-depth comparative study of GPT-5 and
Gemini 2.5 Pro, two current high-end large language models,
to evaluate their progress toward AGI.The

02

Agentic RAG for Enterprise IT Support Automation: A Case Study of FedEx Supply Chain Using DISM, Azure OpenAI, and ServiceNow

FedEx Supply Chain IT support manages high ticket volume across Help
Desk, DevOps, and System Administration teams in a fast-paced logistics
environment. However, support knowledge is fragmented across SharePoint
wikis, SOPs, runbooks, and ServiceNow ticket history, making it difficult to
quickly locate accurate solutions. This creates delays, inconsistent
resolutions, repeated troubleshooting, and higher escalation rates. This
project proposes the Dynamic IT Support Model (DISM), an agentic RAG
system that retrieves enterprise knowledge, generates role-specific solutions,
and supports automated
ticket routing.

03

AI Hands-On Workshop with Neo4j and Microsoft Foundry

Alqadi Join Neo4j and Microsoft for a hands-on workshop focused on building AI agents powered by knowledge graphs. In this workshop, participants built a functional GraphRAG pipeline within a live Azure environment using Neo4j Aura and Microsoft Foundry to implement an end-to-end AI architecture for reasoning over connected data.

The workshop focused on SEC EDGAR filings and institutional financial datasets to demonstrate relationship modeling and AI-driven reasoning across large-scale connected financial data.

Key topics included:
– Building AI agents using knowledge graphs
– Automating data ingestion from Azure Blob Storage into Neo4j
– Modeling relationships using Cypher and Neo4j Browser
– Orchestrating Microsoft Foundry AI agents for natural language reasoning over graph data

The workshop was designed for developers, builders, data engineers, data scientists, and technology leaders.

Systems & Intelligence

Architecting robust infrastructures powered by data-driven intelligence

Introducing legislation to increase funding for mental health services

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Organizing community events to promote environmental awareness

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Partnering with local businesses to create job training programs

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