Alex Munene

Key Skills

Software

CVAT

OpenCV AI Kit (OAK)

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Computer Code Programming

Image

Top Label Types

Classification

Computer Programming Coding

Data Collection

Freelancer Overview

I am an AI data labeling and machine learning data specialist with hands-on experience in preparing, annotating, and validating large datasets for robust AI and analytics solutions. My background includes developing machine learning models using labeled data, performing data preprocessing, and structuring training datasets for neural networks. I have worked extensively with Python, Tableau, Power BI, and various data management tools, and have contributed to projects ranging from audio signal processing for guitar chord recognition to building analytics dashboards and mission intelligence platforms. My expertise lies in ensuring data accuracy, consistency, and readiness for AI pipelines, and I am skilled in transforming raw data into actionable insights across diverse domains.

Labeling Experience

Machine Learning Project — Guitar Chord Identification System (Personal)

CVATAudioClassification

Prepared and structured labeled audio datasets for machine learning training and model development. Conducted preprocessing and validation to increase accuracy for neural network audio classification tasks. Organized and maintained a robust workflow for dataset integrity and usability. • Curated labeled audio data samples for model input • Conducted preprocessing of audio signal data for noise reduction • Validated dataset label consistency and completeness • Facilitated accurate model training with high-quality labels

Prepared and structured labeled audio datasets for machine learning training and model development. Conducted preprocessing and validation to increase accuracy for neural network audio classification tasks. Organized and maintained a robust workflow for dataset integrity and usability. • Curated labeled audio data samples for model input • Conducted preprocessing of audio signal data for noise reduction • Validated dataset label consistency and completeness • Facilitated accurate model training with high-quality labels

2023 - 2023

Education

Work History