Open to opportunities

Kuteesa tendo

@kuteesatendo

Message

Machine learning engineer intern turning messy data into model-ready insights for AI optimization.

Uganda

Message

What I'm looking for

I’m looking for a role where I can build and maintain data pipelines, run EDA, and support ML training/evaluation—especially for AI applications in healthcare, agriculture, and education. I value agile teams, remote collaboration, and continuous learning.

I’m a machine learning intern and BSc Artificial Intelligence & Machine Learning student focused on building reliable data pipelines and supporting ML model development. At FlyRank (remote), I built Python data pipelines to collect, clean, and prepare content-performance data, then used exploratory data analysis to surface ranking trends.

I also supported training and evaluation of ML models for AI-driven content optimization by running experiments and tracking model quality metrics. I enjoy collaborating through Git/GitHub, code reviews, and agile stand-ups, and I’m energized by AI applications in healthcare, agriculture, and education in the African context.

Experience

Work history, roles, and key accomplishments

Machine Learning Intern

FlyRank

Jan 2026 - Jul 2026 (6 months)

Built and maintained Python data pipelines to collect, clean, and prepare content-performance data for ML workflows in an AI-powered SEO platform. Performed EDA to surface ranking trends, and supported training/evaluation of ML models using experiments and model quality metrics.

Python Pandas NumPy SQL Data Pipelines Feature Engineering Experimentation Model Quality Git GitHub Agile

Education

Degrees, certifications, and relevant coursework

ISBAT University

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

2024 - 2027

Activities and societies: Core modules: Machine Learning, Data Structures & Algorithms, Python Programming, Statistics for AI, Neural Networks, Database Systems; coursework projects in model training, data analysis, and algorithm design.

BSc in Artificial Intelligence & Machine Learning (expected graduation). Coursework includes core modules in machine learning, neural networks, Python, and databases, with projects in model training and data analysis.