Daniel Nimbe-oviosu

Key Skills

Software

Label Studio

OpenCV AI Kit (OAK)

Prodigy

Scale AI

Other

Top Subject Matter

No subject matter listed

Top Data Types

Computer Code Programming

Image

Text

Top Task Types

Classification

Computer Programming Coding

Emotion Recognition

Object Detection

Prompt Response Writing SFT

Freelancer Overview

I'm a Computer Science graduate with a strong foundation in programming, data analysis, and AI concepts. My growing interest in machine learning and natural language processing has led me to data labeling, where I’ve developed skills in classification, object detection, sentiment tagging, and prompt-response evaluation for LLMs. I'm comfortable working with structured datasets, code evaluation tasks, and multimodal content (text, image, and audio). While I’m entry-level in formal AI training experience, my technical background, hands-on scripting ability (Python), and attention to detail make me a strong contributor to both language and vision-based labeling projects. I'm excited to contribute to high-quality training data pipelines that support the development of robust, ethical, and high-performing AI systems.

Labeling Experience

Socrates AI – Conversational Agent with Prompt Evaluation & Session Memory

OtherTextQuestion AnsweringText Generation

Built an AI-powered learning assistant in Python that uses natural language processing to interact with users, optimize task schedules (Pomodoro method), and summarize sessions. Developed custom logic for prompt evaluation, intent tagging, and memory management using tiktoken to minimize context length while preserving semantic continuity. Worked with fine-tuned prompt–response pairs to simulate and label user input for clarity, emotion, and task priority classification.

Built an AI-powered learning assistant in Python that uses natural language processing to interact with users, optimize task schedules (Pomodoro method), and summarize sessions. Developed custom logic for prompt evaluation, intent tagging, and memory management using tiktoken to minimize context length while preserving semantic continuity. Worked with fine-tuned prompt–response pairs to simulate and label user input for clarity, emotion, and task priority classification.

2024

FindMySpot – Computer Vision-Based Parking Allocation System

Opencv AI Kit OakVideoBounding BoxObject Detection

Developed a computer vision solution to detect and track available parking spots via CCTV feeds. Labeled and annotated image datasets to train the parking spot detector using OpenCV. Implemented bounding box detection logic and optimized the search algorithm for assigning the best available spot to users. Combined backend development in Python with MongoDB for availability tracking and user interface logic. Contributed to model tuning and real-time image interpretation.

Developed a computer vision solution to detect and track available parking spots via CCTV feeds. Labeled and annotated image datasets to train the parking spot detector using OpenCV. Implemented bounding box detection logic and optimized the search algorithm for assigning the best available spot to users. Combined backend development in Python with MongoDB for availability tracking and user interface logic. Contributed to model tuning and real-time image interpretation.

2023 - 2023

Education

Work History