Ede W.

Key Skills

Software

Google Cloud Vertex AI

Top Subject Matter

On-device NLP intent classification model training and deployment

AI-assisted text generation prompting engine implementation

Top Data Types

Text

Video

Image

Top Task Types

Fine-tuning

Text Generation

Freelancer Overview

Kate — Android AI Assistant (Personal Project). Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Google Cloud Vertex AI, Internal, and Proprietary Tooling. Education includes Bachelor of Engineering, University of Agriculture, Makurdi (2024). AI-training focus includes data types such as Text, Computer Code, and Programming and labeling workflows including Fine-tuning, Computer Programming, and Coding.

Labeling Experience

Kate — Android AI Assistant (Personal Project)

Google Cloud Vertex AITextFine-tuning

Trained a custom NLP intent-classification model to power an on-device Android assistant with real-time intent recognition. The work involved preparing text inputs for modeling through tokenization, sequence padding, and supervised training with sparse categorical cross-entropy loss. The resulting model was converted to TensorFlow Lite (TFLite) format for efficient deployment on mobile devices. • Built an intent-classification pipeline from raw text to model-ready sequences • Trained and validated the intent model using TensorFlow/Keras in Google Colab • Converted the trained model into an on-device TFLite model for inference • Integrated model outputs into an intent-routing and event-dispatching flow in the app

2025 - Present

ScriptGen — Nigerian Script & Skit Generator (Personal Project)

Developed AI-enabled prompting and generation features in a Kotlin Android app focused on culturally authentic Nigerian scripts and skits. The system uses a structured prompting engine to drive AI-assisted content generation based on user and contextual inputs. This work includes implementing the application architecture and delivery pipeline required to operationalize the prompting engine within the mobile product. • Implemented a structured AI-assisted prompting engine to guide script and skit generation • Built the app architecture using Kotlin and Firebase Firestore • Designed navigation and UI components to support end-to-end generation workflows • Configured and debugged release build behaviors to ensure reliable AI prompting execution

2024 - Present

Education

Work History