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Samuel

Samuel

Medical Document Q&A Assistant (RAG)

Key Skills

Software

Other

Top Subject Matter

Healthcare / clinical documents / medical Q&A (RAG)
General AI training with healthcare AI projects
Machine learning and deployment

Top Data Types

DocumentDocument
ImageImage

Top Task Types

Question AnsweringQuestion Answering

Freelancer Overview

Medical Document Q&A Assistant (RAG). Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include LangChain and Other. Education includes Certificate Programme, School of AI (2025) and Certificate of Completion, Udemy (2024). AI-training focus includes data types such as Document, Computer Code, and Programming and labeling workflows including Question Answering, Computer Programming, and Coding.

Labeling Experience

Medical Document Q&A Assistant (RAG)

DocumentDocumentQuestion AnsweringQuestion Answering

Built a RAG-based medical document Q&A assistant to enable question answering over clinical documents with citations and streamed responses. Implemented hybrid retrieval to improve relevance across the underlying document corpus. Integrated a React frontend to support interactive querying and answer streaming for end users. • Built LangChain + ChromaDB RAG system for natural language queries. • Implemented hybrid retrieval and source citation. • Added streaming responses via React frontend. • Worked with clinical document text as the primary content type.

2025 - 2025

AI Full Stack Engineering (School of AI) Certificate Programme

Other

Completed structured AI Full Stack Engineering training covering core machine learning, deep learning, NLP, computer vision, and generative AI concepts. Built end-to-end AI projects including healthcare prediction models and RAG-powered applications as part of coursework. Applied practical development workflows using Python-based tooling and deployment patterns for AI systems. • Trained on ML, deep learning, NLP, computer vision, and generative AI. • Built end-to-end healthcare prediction models. • Built RAG-powered applications. • Completed certificate program deliverables as assessed coursework.

2024 - 2025

AI & Machine Learning (Udemy) Certificate of Completion

Other

Completed an AI and Machine Learning course focused on practical Python development for model building and deployment. Worked with common machine learning libraries and frameworks including scikit-learn and TensorFlow as part of training exercises. Applied deployment workflows using FastAPI for serving model functionality. • Practiced Python with scikit-learn and TensorFlow. • Learned model development workflows for ML. • Trained and prepared models for deployment. • Used FastAPI as part of deployment exercises.

2024 - 2024

Education

S

School of AI

Certificate Programme, Artificial Intelligence Full Stack Engineering

Certificate Programme
2024 - 2025
U

Udemy

Certificate of Completion, Machine Learning and Artificial Intelligence

Certificate of Completion
2024 - 2024

Work History

N

National Youth Service Corps, Service Year Completed

NYSC

Location not specified
2019 - 2020