Meshack Momanyi

Detail-oriented Computer Engineering student with hands-on experience annotating and labelling data for machine learning applications through academic research projects. Skilled in image, text, and sensor-data annotation, adhering strictly to labelling guidelines to ensure high inter-annotator agreement and dataset quality. Comfortable working with annotation tools and scripting simple quality-checks, with a strong technical foundation in how labelled data feeds into model training and evaluation.

Reliable, fast learner, and consistent under repetitive, high-volume labelling workloads.

Final Year Research Project — Labelled Dataset Creation for Systems Analysis at Pwani University (2025-01 – Present)

• Manually annotated and validated a structured dataset used to train and evaluate a project-specific analysis model, following a defined labelling rubric.
• Performed quality checks on labelled samples to catch inconsistencies and maintain a high standard of dataset accuracy.
• Documented labelling guidelines and edge cases to keep annotation criteria consistent across the dataset.

CCTV & Surveillance Footage Review Project (2024-01 – 2024-12)

• Reviewed and tagged footage/events from HDCVI/IP camera systems (via SmartPSS, DMSS, iSpy) as part of a home/office surveillance configuration project.
• Practiced systematic, attentive review of visual data streams — directly transferable to image/video annotation work.

Campus Survey on Student Tech Adoption — Response Coding at Pwani University (2024-01 – 2024-12)

• Coded and categorized open-ended survey responses into structured labels for analysis, ensuring consistent tagging across a large response set.
• Cross-checked coded entries against a shared rubric to reduce labelling errors and disagreement.

Bachelor of Science in Computer Engineering – Pwani University (2022-01 – 2026-12)

Kenya Certificate of Secondary Education (2018-01 – 2021-12)