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Kawa MariaKM
Open to opportunities

Kawa Maria

@kawamaria

AI/ML engineer focused on building and fine-tuning intelligent models for ethical, inclusive real-world impact.

Uganda
Message

What I'm looking for

I’m looking for an opportunity where I can build and fine-tune AI models, learn from experienced engineers, and contribute to ethical, inclusive AI initiatives—while growing through hands-on projects in data analysis, NLP, and computer vision.

I’m an AI/ML Engineer and an Artificial Intelligence & Machine Learning student with a strong foundation in data science, machine learning algorithms, and neural networks. I focus on building and evaluating models that deliver measurable learning outcomes and practical value.

Through hands-on work, I’ve built and assessed models using Python, TensorFlow, PyTorch, and Scikit-learn. I also work across data analysis and visualization, applying my skills to exploratory data analysis and clearer decision-making.

I currently serve as the Country Leader for the African Women in AI (AWAI) initiative, representing Uganda in a pan-African effort to increase women’s participation in Artificial Intelligence. I coordinate with regional leaders to support standardized AI learning resources and foster partnerships for ethical, inclusive, and sustainable AI adoption.

I’m also involved with PyDATA Uganda, where I contribute to technical forums and collaborative learning sessions. My interests include computer vision, NLP, AI agent development, model fine tuning, and sharing insights on machine learning workflows and emerging AI tools.

Experience

Work history, roles, and key accomplishments

Education

Degrees, certifications, and relevant coursework

BU

BAT UNIVERSITY

Bachelor of Science in Artificial Intelligence, Artificial Intelligence & Machine Learning

2024 -

Pursuing a Bachelor of Science in Artificial Intelligence focused on building expertise in data science, machine learning algorithms, and neural networks. Hands-on model building and evaluation using Python, TensorFlow, PyTorch, and scikit-learn, with skills in data analysis and visualization.

Tech stack

Software and tools used professionally

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