TruBridge Externship via Extern
Graduate Biomedical Engineering student working on AI document insights and data extraction through a Pfizer externship.
🟢 Open to workWork includes project-based experience from the Pfizer Advanced externship, focused on AI methods for document insight and extracting structured data from text.
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Pfizer · Sep 2026 · ✅ Verified by Extern
Prototype AI-powered document intelligence with Pfizer—using OCR, LLMs, and RAG to automate real enterprise PDF workflows and build a standout portfolio project.
Institute of Mental Health · Oct 2026 · ✅ Verified by Extern
This externship explores how care coordination work in acute mental health settings can be designed, analyzed, and communicated as a customer-centric operational system. Externs study the case manager’s role at IMH to understand how workflows shape patient experience, surface hidden risks, and make invisible coordination work visible. Through structured analysis, process mapping, and dashboard prototyping, externs learn how operational clarity supports continuity of care, safety, and institutional decision-making.
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TruBridge · ✅ Verified by Extern · ⏱️ In progress
A TruBridge Healthcare Data Analytics externship focused on analyzing public health datasets, building dashboards, and applying statistical methods to identify patterns in healthcare data.
Graduate Biomedical Engineering student working on AI document insights and data extraction through a Pfizer externship.
I am passionate about medtech and am developing my practical skills through various projects.
Externships
TruBridge Healthcare Data Analytics Externship
In progress
Experience
Customer Service Assistant
KPMG · March 2024 - Present
Biomedical Engineering Intern / Trainee
Amalthea Trust Engineering, Kyambogo University · Completed: 05 March 2025
Education
University of East London
Bsc Biomedical Engineering (Hons) · Class of 2026
University of the People
Bsc Computer Science · Class of 2027
Skills
âś… Verified by Extern
Prototype AI-powered document intelligence with Pfizer—using OCR, LLMs, and RAG to automate real enterprise PDF workflows and build a standout portfolio project.
The externship produced a prototype system for extracting structured data and insights from enterprise PDF documents using OCR, LLMs, and retrieval-augmented generation. The work surveyed LLM architectures and prompt strategies, integrated OCR outputs with vector search, and assembled example pipelines for automated document workflows.
I reviewed a sample vendor documentation set and produced a detailed list of document types, inconsistent date formats, OCR and layout challenges, and content elements that risk extraction errors (tables, abbreviations, repeated disclaimers).
âś… Verified by Extern
This externship explores how care coordination work in acute mental health settings can be designed, analyzed, and communicated as a customer-centric operational system. Externs study the case manager’s role at IMH to understand how workflows shape patient experience, surface hidden risks, and make invisible coordination work visible. Through structured analysis, process mapping, and dashboard prototyping, externs learn how operational clarity supports continuity of care, safety, and institutional decision-making.
The work examined care coordination in acute mental health settings, focusing on the case manager role and operational workflows. Tasks included structured process analysis, process mapping, and dashboard prototyping. The deliverables documented coordination steps and surfaced operational gaps observed during the analysis.
I produced an analysis of the case manager role that listed daily workflows, pain points, and escalation routes, and translated that table into a visual stakeholder map identifying core responsibilities.
✅ Verified by Extern · ⏱️ In progress
A TruBridge Healthcare Data Analytics externship focused on analyzing public health datasets, building dashboards, and applying statistical methods to identify patterns in healthcare data.
The work analyzed large public healthcare datasets to identify patterns in infections and outcomes, applied correlational and basic statistical techniques, and produced interactive dashboard prototypes that visualized trends. The analysis documented data limitations and methodological tradeoffs encountered during modeling.
I transformed the course exercises into a documented analysis of healthcare datasets, producing statistical summaries and visual materials that show where the data supports correlation and where it does not.
