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Mutethia Mutuma

Mutethia Mutuma

Researcher – Herbarium Project (Yale University)

UNITED_KINGDOM flag
London, United Kingdom
$20.00/hrExpert

Key Skills

Software

No software listed

Top Subject Matter

Botany/Plant Images
Natural Language Processing/Text Summarization

Top Data Types

ImageImage
TextText

Top Task Types

Classification
Text Summarization

Freelancer Overview

Researcher – Herbarium Project (Yale University). Brings 11+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal and Proprietary Tooling. Education includes Bachelor of Arts, Yale University (2021). AI-training focus includes data types such as Image and Text and labeling workflows including Classification and Text Summarization.

ExpertEnglish

Labeling Experience

Researcher – Microsoft-Yale NLP Research

TextText Summarization
As a researcher in the Microsoft-Yale NLP Research partnership, I contributed to work on text summarization using natural language processing techniques. My tasks focused on preparing and annotating text datasets for summarization model training and evaluation. I also assisted in labeling reference summaries to support publication-quality research outcomes. • Cleaned and curated text corpora suitable for NLP tasks in summarization. • Annotated textual data with summarization targets and labels. • Contributed to the design of reference summaries for model evaluation. • Participated in dataset versioning for iterative model fine-tuning.

As a researcher in the Microsoft-Yale NLP Research partnership, I contributed to work on text summarization using natural language processing techniques. My tasks focused on preparing and annotating text datasets for summarization model training and evaluation. I also assisted in labeling reference summaries to support publication-quality research outcomes. • Cleaned and curated text corpora suitable for NLP tasks in summarization. • Annotated textual data with summarization targets and labels. • Contributed to the design of reference summaries for model evaluation. • Participated in dataset versioning for iterative model fine-tuning.

2020 - Present

Researcher – Herbarium Project (Yale University)

ImageClassification
I created and trained convolutional neural networks to classify plant images for the Yale Peabody museum as part of the Herbarium Project. My responsibilities included manipulating image data and developing machine learning models to improve classification accuracy. I also led the process of training, testing, and evaluating these deep learning models in an academic research setting. • Used deep learning with convolutional neural networks on image datasets. • Labeled and preprocessed plant image data for supervised model training. • Categorized and annotated images for species identification and research. • Implemented model evaluation to validate labeling and classification quality.

I created and trained convolutional neural networks to classify plant images for the Yale Peabody museum as part of the Herbarium Project. My responsibilities included manipulating image data and developing machine learning models to improve classification accuracy. I also led the process of training, testing, and evaluating these deep learning models in an academic research setting. • Used deep learning with convolutional neural networks on image datasets. • Labeled and preprocessed plant image data for supervised model training. • Categorized and annotated images for species identification and research. • Implemented model evaluation to validate labeling and classification quality.

2019 - Present

Education

Y

Yale University

Bachelor of Arts, Computer Science

Bachelor of Arts
2017 - 2021

Work History

M

Microsoft

Researcher

New Haven
2020 - Present
Y

Yale University

Researcher

New Haven
2019 - Present