Uzoekwe V.

Key Skills

Software

Other

Roboflow

V7 Labs

SuperAnnotate

Top Subject Matter

Cybersecurity intrusion detection and explainable AI (XAI)

Networking simulation and configuration (supporting data/labels indirectly via network modeling)

Top Data Types

Computer Code Programming

Text

Image

Top Task Types

Function Calling

Segmentation

Data Collection

Prompt + Response Writing (SFT)

Freelancer Overview

XAI-Powered Intrusion Detection System (Explainable AI module for IDS). Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Bachelor of Science, Adeleke University (2026) and Cisco Certified Network Associate, Cisco (2024). AI-training focus includes data types such as Computer Code and Programming and labeling workflows including Function Calling, Computer Programming, and Coding.

Labeling Experience

Data Centre Network (DCN) Simulation (Cisco Packet Tracer)

Other

Designed and simulated a data-center network topology to model routing behavior across multiple virtual nodes. Configured routing protocols and network segmentation to ensure end-to-end reachability in a simulated environment. Produced reproducible documentation in the form of annotated diagrams and configuration logs. • Built multi-tier DCN topology (core, distribution, access) using Cisco Packet Tracer. • Configured OSPFv2 routing and VLAN segmentation with inter-VLAN routing. • Simulated BGP-related connectivity across a routed enterprise topology. • Documented topology diagrams and configuration logs for academic review.

2023 - 2024

XAI-Powered Intrusion Detection System (Explainable AI module for IDS)

OtherFunction Calling

Built and deployed an Explainable AI-powered Intrusion Detection System as a full-stack application using ML model outputs and SHAP explanations. Focused on producing interpretable results for end users (security analysts) by explaining feature importance and model decisions. Evaluated and iterated on model performance to support ~92% classification accuracy on a public dataset. • Engineered SHAP-based interpretability components within a Flask web dashboard. • Implemented threat scoring and feature-importance visualization for analyst decision support. • Integrated ML training outputs into a production-ready UI for continuous use. • Worked on end-to-end development lifecycle from model development to deployment.

2023 - 2024

Education

Work History