Skip to main content
Kuteesa Tendo jeremiahKJ
Open to opportunities

Kuteesa Tendo jeremiah

@kuteesatendojeremiah

Machine Learning engineer intern turning messy data into ML-ready insights through Python, pipelines, and model support.

Uganda
Message

What I'm looking for

I’m looking for an ML-focused role where I can build data pipelines, run EDA, and support model training/evaluation—collaborating in an agile team while contributing to AI products and learning fast.

I’m a Machine Learning intern and BSc Artificial Intelligence & Machine Learning student with hands-on experience building data pipelines and supporting ML model development at FlyRank, an AI-powered content optimization platform.

I build and maintain Python data pipelines to collect, clean, and prepare content-performance data using Pandas, NumPy, and SQL. I also run exploratory data analysis on content and engagement datasets to surface ranking trends that inform feature engineering and product decisions. In addition, I support model training and evaluation by running experiments and tracking model quality metrics.

I’m comfortable collaborating remotely with distributed engineering teams through Git/GitHub, code reviews, and stand-ups in an agile environment. I focus on supervised/unsupervised learning, neural networks, and practical experimentation—supported by coursework, Kaggle micro-courses, and ongoing Deep Learning/Data Science learning.

Experience

Work history, roles, and key accomplishments

FL

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 on FlyRank’s AI-powered SEO platform. Conducted exploratory data analysis and supported ML model training by running experiments and tracking model quality metrics while collaborating via Git/GitHub in an agile environment.

Education

Degrees, certifications, and relevant coursework

ISBAT University logoIU

ISBAT University

Bachelor of Science, Artificial Intelligence & Machine Learning

2024 -

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

BSc in Artificial Intelligence & Machine Learning at ISBAT University (2024–2027, expected). Studied core areas such as Machine Learning, data structures & algorithms, statistics for AI, neural networks, and database systems through coursework projects in model training and data analysis.

Get matched with your dream remote job

Sign up now and join over 250,000+ remote workers who receive personalized job alerts, curated job matches, and more for free!

Sign up
Himalayas profile for an example user named Frankie Sullivan