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Microsoft Office Machine Learning

Location:
United States
Posted:
December 17, 2024

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Resume:

YOUNG TAMARA LEE

NEVADA, USA

*************@*****.***

objective

A computer science graduate who adores programming and specifically machine learning as well as software development with expertise in AI model training for more than 5 years. She is Detail-oriented, excellent in communication and engagement skills. Enjoys contributing to technologies and projects involving artificial intelligence(AI) while ensuring data accuracy and consistency. She is fluent in more than two programming language which include python, java, rust, SQL and c.

Professional Experience

Freelance technical writer

(March2023- present 1 year 1month)

Create clear and well-structured technical documents including user manualS.

Conduct thorough research to ensure technical accuracy, consistency and clarity.

Edit and proofread technical documents to ensure clarity, consistency, and adherence to style guidelines set by organization.

Adapt technical content for global audiences by working with localization teams.

Contributor

(May 2022-present 1year 5months)

Create high-quality written content to train and enhance AI language models while avoiding errors.

Generate educational and creative materials as per project guidelines.

Accurately label data for example to improve AI understanding and performance

Education

Bachelor’s degree in computer science

(graduated: august 20, 2019)

Specialized in machine learning and AI model training blending with internet of things(IOT), enhancing ability to simplify complex tasks for diverse audience.

skills

Programming languages: python, javascript, c++, SQL, git

Proficient in English

Ability to work well without supervision

Data handling skills

Attention to details

Key achievements

Mentored young AI enthusiastic developers through online platforms.

Contributed extensively in machine language projects acquiring broad experience in operating AI model

Preferred work arrangement

Availabilities: Available for both full-time and part-time (min 30hours/week) roles including weekends.



Contact this candidate