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Brian Boro

Brian Boro

Sentiment and Image Classifier (Text labeling)

KENYA flag
Nairobi, Kenya
$15.00/hrIntermediateAws SagemakerAppenClickworker

Key Skills

Software

AWS SageMakerAWS SageMaker
AppenAppen
ClickworkerClickworker
CloudFactoryCloudFactory
CVATCVAT
Data Annotation TechData Annotation Tech
iMeritiMerit
HumanaticHumanatic
LabelboxLabelbox
Micro1
MercorMercor
LionbridgeLionbridge
MindriftMindrift
OneFormaOneForma
RemotasksRemotasks
Scale AIScale AI
Snorkel AISnorkel AI

Top Subject Matter

Sentiment Analysis
Product Image Classification

Top Data Types

TextText
ImageImage
AudioAudio

Top Label Types

Classification
Bounding Box
Polygon
Segmentation
Point Key Point
Polyline
Cuboid
Object Detection
Text Generation
Entity Ner Classification
Question Answering
Text Summarization
Transcription
Evaluation Rating
Red Teaming
Prompt Response Writing SFT
Data Collection
Computer Programming Coding

Freelancer Overview

Sentiment and Image Classifier (Text labeling). Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Tensorflow. Education includes Bachelor of Economics and Statistics, University of Nairobi (2025) and Certificate in AI Career Essentials, ALX Africa (2025). AI-training focus includes data types such as Text and Image and labeling workflows including Classification.

IntermediateSwahiliEnglish

Labeling Experience

Sentiment and Image Classifier (Image labeling)

ImageClassification
I labeled images of animal products such as meat, egg, honey, and wool to train a machine learning model for product recognition. The work required careful annotation of image datasets, enabling the model to effectively classify various animal-derived items. Tensorflow and Google Colab were used as primary tools for image labeling and model development. • Classified and tagged images of different animal products for supervised learning. • Utilized Python and Tensorflow for image preprocessing and annotation. • Organized and maintained a structured image dataset for efficient model training. • Supported the creation of an accurate image classification model for animal product identification.

I labeled images of animal products such as meat, egg, honey, and wool to train a machine learning model for product recognition. The work required careful annotation of image datasets, enabling the model to effectively classify various animal-derived items. Tensorflow and Google Colab were used as primary tools for image labeling and model development. • Classified and tagged images of different animal products for supervised learning. • Utilized Python and Tensorflow for image preprocessing and annotation. • Organized and maintained a structured image dataset for efficient model training. • Supported the creation of an accurate image classification model for animal product identification.

2024 - 2025

Sentiment and Image Classifier (Text labeling)

TextClassification
I trained a model to classify comments as informative, opinionated, or spam, using Python and relevant data labeling techniques. The experience involved annotating text data for supervised learning purposes, contributing to the development of a sentiment classifier. I worked with tools such as Tensorflow and Google Colab to facilitate text annotation and model training. • Annotated and labeled a large dataset of comments for sentiment and spam classification. • Used Python, Pandas, and Google Colab for data preparation and labeling workflows. • Applied supervised classification methods for training and evaluation. • Contributed text-labeled data to support robust machine learning model development.

I trained a model to classify comments as informative, opinionated, or spam, using Python and relevant data labeling techniques. The experience involved annotating text data for supervised learning purposes, contributing to the development of a sentiment classifier. I worked with tools such as Tensorflow and Google Colab to facilitate text annotation and model training. • Annotated and labeled a large dataset of comments for sentiment and spam classification. • Used Python, Pandas, and Google Colab for data preparation and labeling workflows. • Applied supervised classification methods for training and evaluation. • Contributed text-labeled data to support robust machine learning model development.

2024 - 2025

Education

A

ALX Africa

Certificate in AI Career Essentials, Artificial Intelligence

Certificate in AI Career Essentials
2024 - 2025
U

University of Nairobi

Bachelor of Economics and Statistics, Economics and Statistics

Bachelor of Economics and Statistics
2021 - 2025

Work History

U

University of Nairobi

Artificial Intelligence Researcher

Nairobi
2024 - Present
E

Equity Group Holdings

Artificial Intelligence Professional

Nairobi
2023 - Present