Kuteesa Tendo jeremiah
@kuteesatendojeremiah
Machine Learning engineer intern turning messy data into ML-ready insights through Python, pipelines, and model support.
What I'm looking for
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
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
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.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Portfolio
jerryportfolio-three.vercel.appJob categories
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