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Biomedical AI Engineer

Nahom SamuelYeshitila.

Building AI tools that make healthcare and complex information easier to navigate.

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Ancona, Italy Open to internships & junior AI roles
Clinical roots. Computational curiosity. Python / LLM applications / Physiological models

01 / About

Clinical roots.
An engineering mindset.

I’m a biomedical engineering MSc student at Università Politecnica delle Marche in Ancona, Italy. My experience in an Ethiopian hospital and biomedical equipment sales gave me a practical view of how healthcare teams use technology.

I’m now building my skills in Python, LLM applications and retrieval-augmented generation. I’m interested in clinical engineering, digital health and AI systems that make information easier to find, understand and use.

02 / Toolkit

Across code and care.

A biomedical foundation, a growing Python toolkit, and a focus on building useful applications around language models.

Languages & data

  • Python
  • MATLAB
  • SQL learning
  • Beautiful Soup & Requests

AI applications

  • OpenAI API
  • RAG & embeddings
  • Prompt design
  • Ollama & local models

Frameworks & workflow

  • Jupyter notebooks
  • uv & GitHub
  • FastAPI next
  • Streamlit next

Biomedical domain

  • Clinical engineering
  • Digital health
  • Physiological modeling
  • MATLAB Simulink

“Next” marks frameworks I plan to use in the projects below.

03 / Featured projects

Real problems.
Projects worth building.

Three portfolio concepts grounded in problems I know. Each has a proposed stack and a build brief; demos and repositories will follow as the projects take shape.

Project concept

ItaliaPath
Student guidance assistant

Ethiopian applicants face scattered embassy and university guidance. A source-backed assistant could help them find their next step and see the official document behind each answer.

Proposed stack

  • Python
  • FastAPI
  • RAG
  • OpenAI API
Read build brief

First version: Select an application stage, ask a question, and receive an answer with official-source citations. Begin with a small, reviewed collection of embassy and university pages.

Engineering focus: Record source dates and versions, retrieve the relevant passages, and clearly say when the documents do not support an answer.

Evaluate: Check citation support, outdated requirements and questions outside the source collection.

GitHub profile

Project concept

Scholarship FAQ assistant

Students and support teams repeat the same scholarship questions. A focused FAQ assistant could explain procedures and required documents using the published call and official guidance.

Proposed stack

  • Python
  • Streamlit
  • FAISS
  • Embeddings
Read build brief

First version: Answer common process questions from one scholarship call, with the relevant section linked beside each answer.

Engineering focus: Keep academic years separate, identify missing context, and show which questions need a human response. Use public documents for the initial build.

Evaluate: Test ambiguous questions, annual rule changes and unsupported requests for personal application status.

GitHub profile

Coursework extension concept

Physiological model explorer

Physiological models can be difficult to interpret from equations alone. An interactive explorer would compare simulated insulin-absorption curves as model parameters change.

Proposed stack

  • MATLAB
  • Simulink
  • Python
  • Streamlit
Read build brief

First version: Extend my MSc insulin-absorption modeling work with parameter controls and side-by-side simulated curves.

Engineering focus: Document the equations, assumptions and units, then reproduce a reference simulation before adding comparisons.

Evaluate: Check units, parameter limits and agreement with the reference model. Present the tool as an educational simulation.

GitHub profile

04 / Experience & education

A foundation
in the real world.

  1. ONGOING / ANCONA, ITALY

    MSc Biomedical Engineering

    Università Politecnica delle Marche

    Graduate study spanning physiological modeling, cognitive computing in medicine and brain imaging, with a growing focus on digital health and AI.

  2. – / ADDIS ABABA, ETHIOPIA

    Biomedical Engineering Intern

    Tikur Anbessa Specialised Hospital

    Completed a 960-hour internship in the Biomedical Engineering Department, grounding my engineering studies in a clinical environment.

  3. EARLIER / ETHIOPIA

    Sales Engineer

    Biomedical equipment sector

    Worked at the intersection of biomedical technology and customer needs, developing technical communication alongside an understanding of healthcare equipment.