Gerald O.

Key Skills

Software

CVAT

OpenCV AI Kit (OAK)

Data Annotation Tech

Top Subject Matter

Iot Domain Expertise

wireless communication

neural networks

Top Data Types

Image

Text

Document

Top Task Types

Fine-tuning

Transcription

Classification

Freelancer Overview

Researcher / Lab lead for IoT-dependent projects at Baze University (Intelligent emergency detection, smart mirror senso. Brings 12+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include MATLAB. Education includes Postgraduate Diploma, Baze University (2025) and Higher National Diploma, Federal Polytechnic Nekede (2018). AI-training focus includes data types such as Computer Code and Programming and labeling workflows including Fine-tuning, Evaluation, and Rating.

Labeling Experience

Technologist/Instructor at Baze University: teaching embedded systems, MATLAB image analysis, and IoT implementation.

Provided instruction for embedded systems and AI-adjacent topics including image analysis and MATLAB-based learning activities. Delivered course content and guided practical sessions that support preparing and using labeled or model-ready data for image analysis and system modeling. Supervised student project designs that involved IoT implementation and programming for prototype AI-enabled hardware. • Co-taught embedded systems course content (CME507) and supported graded lab work. • Taught MATLAB image analysis in EEE313 and EEE409 with hands-on exercises. • Supervised design of remote-controlled robots and object avoidance prototypes. • Taught IoT design/implementation and microcontroller programming for student projects.

2021 - Present

Researcher / Lab lead for IoT-dependent projects at Baze University (Intelligent emergency detection, smart mirror sensors, robotics, and ML-based modeling).

Fine-tuning

Conducted applied machine-learning work for real-world system modeling and analysis, using MATLAB to develop neural networks and ML models from gathered datasets. Performed supporting AI/data preparation steps such as image analysis and sensor-informed modeling to enable downstream detection and monitoring capabilities in IoT/robotics prototypes. Used frequency and bandwidth analysis with instrumentation to support feature engineering for wireless communication related research workflows. • Built and tested multiple neural network architectures and ML models in MATLAB. • Performed MATLAB image analysis to extract insights from visual inputs. • Analyzed measured spectrum properties (frequency/bandwidth) using a spectrum analyzer. • Developed and modeled IoT-dependent systems including smart mirror sensor integration and robotics.

2021 - Present

Education

Work History