Philip Simiyu

Key Skills

Software

Telus

Other

Top Subject Matter

Speech recognition and image classification

Natural Language Processing

Sentiment Analysis

Top Data Types

Audio

Text

Image

Top Task Types

Classification

Freelancer Overview

AI Data Trainer. Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Telus and Other. Education includes Master of Science, Strathmore University (2019) and Bachelor of Science, University of Nairobi (2017). AI-training focus includes data types such as Audio and Text and labeling workflows including Classification.

Labeling Experience

AI Data Trainer

TelusAudioClassification

As an AI Data Trainer at TELUS, I contributed to training and optimizing datasets for speech recognition and image classification models. My responsibilities included building quality datasets, debugging errors, and refining AI model performance. I worked collaboratively with data scientists and machine learning engineers to meet project goals and enhance accuracy. • Built and curated high-quality audio and image datasets for AI models. • Labeled data for use in speech recognition and image classification systems. • Tuned model parameters to improve performance and accuracy. • Supported iterative training and testing to refine AI outputs.

As an AI Data Trainer at TELUS, I contributed to training and optimizing datasets for speech recognition and image classification models. My responsibilities included building quality datasets, debugging errors, and refining AI model performance. I worked collaboratively with data scientists and machine learning engineers to meet project goals and enhance accuracy. • Built and curated high-quality audio and image datasets for AI models. • Labeled data for use in speech recognition and image classification systems. • Tuned model parameters to improve performance and accuracy. • Supported iterative training and testing to refine AI outputs.

2019 - Present

Research Assistant

OtherTextClassification

During my time as a Research Assistant at Strathmore University, I created balanced text datasets for sentiment analysis in natural language processing research. I used RNN and CNN models to classify documents based on sentiment and published research in the field. Extensive research was conducted in assembling, labeling, and evaluating text data for machine learning models. • Designed and labeled text datasets for NLP sentiment analysis projects. • Implemented classification labels for training RNN and CNN algorithms. • Evaluated model accuracy and iteratively refined labeled datasets. • Published peer-reviewed research on AI-driven sentiment analysis.

During my time as a Research Assistant at Strathmore University, I created balanced text datasets for sentiment analysis in natural language processing research. I used RNN and CNN models to classify documents based on sentiment and published research in the field. Extensive research was conducted in assembling, labeling, and evaluating text data for machine learning models. • Designed and labeled text datasets for NLP sentiment analysis projects. • Implemented classification labels for training RNN and CNN algorithms. • Evaluated model accuracy and iteratively refined labeled datasets. • Published peer-reviewed research on AI-driven sentiment analysis.

2017 - 2019

Education

Work History