Jimoh L.

Key Skills

Software

Other

Top Subject Matter

Generative AI agent development and ethical AI/bias mitigation

Operational data analysis and dataset restructuring for KPI reporting

Legal Services & Contract Review

Top Data Types

Document

Text

Top Task Types

Function Calling

Data Collection

Freelancer Overview

AI Agent Developer Intern (NeuralSeek) — data-driven AI agent development and ethical AI implementation. Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other and Microsoft Power BI. Education includes Bachelor of Technology, Federal University of Technology, Akure (FUTA) (2024) and Google Data Analytics Professional Certificate, Google / Coursera (2023). AI-training focus includes data types such as Computer Code and Programming and labeling workflows including Function Calling and Data Collection.

Labeling Experience

AI Agent Developer Intern (NeuralSeek) — data-driven AI agent development and ethical AI implementation

OtherFunction Calling

Developed an AI agent in a collaborative internship setting, requiring preparation and processing of AI-ready inputs for downstream agent behavior. Applied ethical AI guidelines and bias-mitigation approaches to improve the quality and safety characteristics of model outputs. Delivered stakeholder demos demonstrating measurable operational gains from the generative AI agent. • Co-developed a data-driven AI agent with international team collaboration. • Implemented bias-mitigation frameworks aligned to ethical AI principles. • Prepared and presented a final product demo to stakeholders. • Evaluated impact using reported accuracy and efficiency improvements.

2025 - 2025

Data Analyst Intern (Nigeria Breweries Plc) — operational dataset analysis and reporting workflow optimization

Data Collection

Performed analytics on operational datasets for a specific energy consumption project, supporting KPI tracking and efficiency objectives. Restructured reporting workflows and datasets to improve data preparation and analysis throughput. The work involved transforming and organizing data to enable downstream reporting and monitoring. • Analyzed energy consumption data for the Energy ZAG Project. • Restructured operational datasets and reporting workflows. • Supported KPI tracking and operational efficiency goals. • Reduced report preparation time by 20% through workflow improvements.

2023 - 2023

Education

Work History