Coach E.

Key Skills

Software

OpenCV AI Kit (OAK)

Roboflow

Other

Top Subject Matter

Computer Vision (Image Segmentation)

Computer Vision (Object Detection)

Computer Vision (Face Detection & Landmark Tracking)

Top Data Types

Image

Top Task Types

Segmentation

Object Detection

Tracking

Classification

Freelancer Overview

AI Software Engineer (2024–2026) — Computer Vision model development incl. U-Net segmentation project work. Brings 8+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include OpenCV AI Kit (OAK), Roboflow, and Other. Education includes Master of Science, Nankai University and Bachelor of Science, Federal University of Agriculture, Abeokuta. AI-training focus includes data types such as Image and labeling workflows including Segmentation, Object Detection, and Tracking.

Labeling Experience

AI Software Engineer (2024–2026) — Face detection and landmark tracking project development

OpenCV AI Kit (OAK)ImageTracking

Created a facial detection and landmark tracking solution using computer vision techniques. Built and refined a pipeline that depended on labeled visual cues for detection/tracking model development. Improved stability through preprocessing and smoothing methods to support consistent tracking outputs. • Built a facial detection and tracking system using OpenCV. • Improved detection stability using preprocessing and smoothing techniques. • Iterated computer-vision pipeline steps to enhance tracking consistency. • Validated tracking robustness as part of the model/system development loop.

2024 - 2026

AI Software Engineer (2024–2026) — Object detection project development

RoboflowImageObject Detection

Developed a deep learning object detection system and applied training-time data augmentation to improve detection performance. Prepared and iterated on labeled datasets suitable for object detection model training and evaluation. Tuned model training so it generalised better to real-world visual inputs. • Developed a deep learning model for object detection tasks. • Applied data augmentation to improve model performance. • Iterated dataset and training approaches to boost detection quality. • Conducted evaluation cycles to confirm performance gains during development.

2024 - 2026

AI Software Engineer (2024–2026) — Computer Vision model development incl. U-Net segmentation project work

OpenCV AI Kit (OAK)ImageSegmentation

Built and trained deep learning models for image segmentation and improved segmentation quality through training strategies. Designed training workflows that required preparing and validating labeled image data for U-Net style segmentation tasks. Ensured model performance enhancements were measured during iterative development with segmentation-specific objectives. • Implemented U-Net architecture for image segmentation tasks. • Improved segmentation accuracy using Dice loss and data augmentation. • Performed preprocessing and training iterations to refine segmentation outcomes. • Validated improvements to segmentation quality during model development.

2024 - 2026

Freelance Software Engineer (2019–2023) — Sign language recognition system project

OtherImageClassification

Built and deployed a real-time sign language recognition system using a CNN-based model. Developed a model-serving API and containerised the system for deployment readiness, which required preparing labeled training data for classification. Focused on translating labeled vision data into reliable sign recognition outputs. • Developed a CNN-based real-time sign language recognition system. • Built FastAPI endpoints for model serving. • Containerised the application using Docker for deployment readiness. • Used labeled image examples to train and evaluate recognition performance.

2019 - 2023

Education

Work History