
Outamation · Oct 2025 · ✅ Verified by Extern
Outamation AI-Powered Workflow Automation Externship
An Outamation externship exploring AI methods for turning unstructured mortgage document workflows into searchable, automatable data.
Currently an Extern @Outamation·🟢 Open to work
I apply AI to make messy document workflows searchable and automatable, with hands-on externship experience in mortgage document automation.
Work spans AI, data analysis, software development, and applied technology, with projects in predictive modelling, automation, and data-driven applications.

Outamation · Oct 2025 · ✅ Verified by Extern
An Outamation externship exploring AI methods for turning unstructured mortgage document workflows into searchable, automatable data.

Apr 2026
I analyzed Fitbit datasets with Python for Bellabeat, identifying patterns in activity, sleep, and user behavior. After cleaning and merging the data, I found a moderate positive correlation (0.41) between activity and sleep quality. I visualized the findings using Matplotlib and Seaborn, revealing
I apply AI to make messy document workflows searchable and automatable, with hands-on externship experience in mortgage document automation.
I am Rachel Mifor Agyingi, a Computer Engineering graduate exploring the intersection of technology, data, and artificial intelligence. I enjoy working on problems that sit beyond a single discipline, with experience spanning software development, data analysis, AI, and technology projects in healthcare, sustainability, and digital innovation.
Externships
Outamation AI-Powered Workflow Automation Externship
Outamation
Experience
Digital Impact Intern
UNICEF Cameroon · Jan 2026 - Jul 2026
Front End Development Intern
Fapshi Inc. · Aug 2025 - Jan 2026
Marine and Community Conservation Extern
Extern · Sep 2025 - Nov 2025
Front End Developer
Restou · Aug 2024 - Jan 2025
Education
University of Buea
BEng Computer Engineering · Class of 2026
Skills
✅ Verified by Extern
An Outamation externship exploring AI methods for turning unstructured mortgage document workflows into searchable, automatable data.
The work built an end-to-end document intelligence pipeline for mortgage files, combining OCR, extraction, retrieval, and a user-facing QA interface. Deliverables included Colab notebooks, OCR comparisons, extraction code, a LlamaIndex-based RAG pipeline, a Gradio chatbot, and an integrated demo with metrics and documentation.

I produced a complete AI-powered mortgage document pipeline: OCR comparisons and preprocessing, field extraction code, a vectorized RAG index with evaluated embeddings, a Gradio Q&A chatbot, and an end-to-end demo with test metrics and documentation.
Apr 2026
I analyzed Fitbit datasets with Python for Bellabeat, identifying patterns in activity, sleep, and user behavior. After cleaning and merging the data, I found a moderate positive correlation (0.41) between activity and sleep quality. I visualized the findings using Matplotlib and Seaborn, revealing
I analyzed Fitbit datasets with Python for Bellabeat, identifying patterns in activity, sleep, and user behavior. After cleaning and merging the data, I found a moderate positive correlation (0.41) between activity and sleep quality. I visualized the findings using Matplotlib and Seaborn, revealing
