I am an emerging AI and Machine Learning engineer with hands-on experience in AI model training, Reinforcement Learning from Human Feedback (RLHF), data annotation, prompt engineering, and AI-assisted content creation. I develop my skills by actively learning, , testing, and building machine learning projects, ensuring that what I learn is applied to real-world use cases. I have worked on text-based AI training and evaluation tasks, providing high-quality human feedback, labeling, and model assessments with a strong focus on accuracy, consistency, and alignment with model objectives. My work combines practical experience with continuous learning, allowing me to contribute effectively while growing deeper technical expertise. With a strong understanding of African languages and cultural context, I bring added value to global AI projects that require diverse, inclusive, and context-aware training data. I am detail-oriented, reliable, and committed to delivering work with depth that meets professional and ethical AI standards.

Benedicta Bondzie

I am an emerging AI and Machine Learning engineer with hands-on experience in AI model training, Reinforcement Learning from Human Feedback (RLHF), data annotation, prompt engineering, and AI-assisted content creation. I develop my skills by actively learning, , testing, and building machine learning projects, ensuring that what I learn is applied to real-world use cases. I have worked on text-based AI training and evaluation tasks, providing high-quality human feedback, labeling, and model assessments with a strong focus on accuracy, consistency, and alignment with model objectives. My work combines practical experience with continuous learning, allowing me to contribute effectively while growing deeper technical expertise. With a strong understanding of African languages and cultural context, I bring added value to global AI projects that require diverse, inclusive, and context-aware training data. I am detail-oriented, reliable, and committed to delivering work with depth that meets professional and ethical AI standards.

Available to hire

I am an emerging AI and Machine Learning engineer with hands-on experience in AI model training, Reinforcement Learning from Human Feedback (RLHF), data annotation, prompt engineering, and AI-assisted content creation. I develop my skills by actively learning, , testing, and building machine learning projects, ensuring that what I learn is applied to real-world use cases.

I have worked on text-based AI training and evaluation tasks, providing high-quality human feedback, labeling, and model assessments with a strong focus on accuracy, consistency, and alignment with model objectives. My work combines practical experience with continuous learning, allowing me to contribute effectively while growing deeper technical expertise.

With a strong understanding of African languages and cultural context, I bring added value to global AI projects that require diverse, inclusive, and context-aware training data. I am detail-oriented, reliable, and committed to delivering work with depth that meets professional and ethical AI standards.

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Experience Level

Expert
Intermediate
Intermediate
Beginner
Beginner

Language

English
Fluent
Ewe
Intermediate
Twi
Advanced

Work Experience

Social Media Manager at Google Developer Groups on Campus, UEW
January 1, 2024 - Present
Launched the campus LinkedIn presence, organized webinars, and managed engagement to promote GDG UEW activities and foster tech participation among students and the campus community.
Artificial Intelligence & Machine Learing Lead at Google Developer Groups on Campus, UEW
December 24, 2025 - Present
Currently supporting AI and Machine Learning learning activities within the campus developer community. I am actively learning AI/ML concepts through hands-on practice and project-based exploration, while helping peers understand AI fundamentals, practical use of AI tools, and responsible AI applications. I contribute to beginner-friendly sessions and discussions around AI for everyday use, AI in education, automation tools, and emerging topics, creating an inclusive learning environment where students can explore technology together. I also support awareness of how AI and Google technologies can be used effectively for studies, productivity, and problem-solving. This role allows me to grow my technical skills while mentoring at my level, encouraging curiosity, collaboration, and ethical use of AI.

Education

B.Sc. ICT Education at University of Education, Winneba
January 1, 2023 - November 27, 2027

Qualifications

Introduction to Generative AI, ML Foundation Badge, AI & ML Scholars Badge (Udacity / AWS)
July 1, 2024 - December 25, 2025
Artificial Intelligence Micro-Certification (Product School)
July 1, 2025 - December 25, 2025
RL/Linear Algebra/PyTorch/DL/CV/NNets Main Cert (LinkedIn Learning)
August 1, 2025 - December 25, 2025
AWS AI & ML Scholars Challenge Completion Badge
December 25, 2025 - July 3, 2025
AWS Educate Machine Learning Foundations Badge
December 25, 2025 - December 25, 2025
Mathematics for Machine Learning – Linear Algebra (Imperial College London)
December 12, 2025 - December 20, 2025
Mathematics for Machine Learning – Multivariate Calculus (Imperial College London)
December 12, 2025 - December 20, 2025
ALX AiCE - AI Career Essentials
July 3, 2024 - July 26, 2024

Industry Experience

Education, Media & Entertainment, Professional Services, Other, Computers & Electronics
    uniE621 Machine Learning Model for Predicting Ghana’s Inflation Rates (Next Five Years)
    I developed a Machine Learning model to predict Ghana’s inflation rates for the next five years, combining historical economic indicators with advanced regression techniques. Using Python and PyTorch, I collected, cleaned, and preprocessed large datasets from multiple sources to ensure accurate and reliable predictions. The model incorporates time-series analysis and evaluates various economic scenarios, providing actionable insights for policymakers and researchers. This project demonstrates my ability to apply AI and Machine Learning to real-world economic forecasting while maintaining a strong focus on data integrity and ethical modeling practices. All aspects of the project, from data preparation to model deployment, were handled independently by me. Check out the full project on GitHub](https://www.twine.net/signin