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Maher Sheikhi
Munich · Germany

Maher Sheikhi

Clinical Engineer & Medical Device Consultant — Certified Medical Device Advisor (§83 MPDG, TÜV) specializing in neurotechnology and AI-driven Medical Devices.

Get in touch View Projects 📄 View CV
About Me

Who I Am

Passionate Clinical Engineer dedicated to advancing artificial intelligence and innovative technologies in medical applications and medical engineering. I believe in the transformative power of technology to revolutionize healthcare delivery and improve patient outcomes through intelligent systems and data-driven solutions.

With particular focus on Brain-Computer Interface (BCI) and Neurotechnology, I explore how cutting-edge technologies can bridge the gap between human neurology and assistive devices. During my Master's studies, I gained hands-on experience with computer vision applications and BCI systems, working on projects involving EEG, MEG and EMG signal processing at Charité University's Clinical Neurotechnology Lab.

Currently working at MED-EL as a Clinical Engineer, I combine over 10 years of electrical engineering and medical technology experience from organizations including BMW Group, Arthrex, Fresenius Medical Care, and Charité University. I am also a published author, having contributed a paper on an intelligent optimization algorithm for interior lighting design using MATLAB. My main goal is to understand how innovative technologies can be applied to solve real healthcare problems, creating practical solutions that make a meaningful difference in patient care and medical practice.

Location
Freischützstraße 52, 81927 Munich, Germany
Email
mahershei67@gmail.com
Phone
+49 015901610157
Speak:
• German • English • Persian
Experience

Professional Journey

10+
Years
6
Companies
3
Languages
2
Certifications
Clinical Engineer / Medical Device Engineer
MED-EL, Munich
01/2025 — Present
  • Signal Processing: Programmed highly complex cochlear and middle ear implant systems using advanced digital signal processing methods with proprietary in-house software (C#).
  • System Validation: Performed critical intraoperative system measurements and real-time validations in the operating room.
  • Quality & Documentation: Documented clinical data in strict compliance with international medical device safety standards.
  • Technical Support: Provided expert-level support to surgeons and audiologists during configurations and active surgeries.
  • Training: Conducted workshops for medical professionals on proper device usage.
Development Engineer
Bertrandt / BMW Group, Munich
01/2023 — 12/2024
  • Process Verification: Managed system validation pipelines and prepared norm-compliant type-approval test reports for audit readiness.
  • Agile Coordination: Led validation workflows using Scrum and Kanban methodologies.
  • System Integration: Programmed and integrated complex software safety subsystems across vehicle components.
Master's Thesis — Software Development
Arthrex GmbH, Munich
07/2022 — 12/2022
  • Developed a Python-based GUI to optimize statistical data evaluation of surgical instrument test benches.
  • Implemented ML algorithms for automated error detection, improving traceability and measurement accuracy.
Intern — SW/HW Development
Fresenius Medical Care, Schweinfurt
01/2022 — 06/2022
  • Supported early project planning, risk assessment, and documentation structure for life-sustaining dialysis products.
  • Facilitated user story workshops bridging technical development with clinical expectations within a Scrum framework.
Research Assistant — Brain-Computer Interface (BCI)
Clinical Neurotechnology Lab, Charité, Berlin
08/2021 — 12/2021
  • Set up AI-powered BCI system pipelines with Neuropype for real-time validation and processing of neurological datasets (EEG, MEG, EMG).
  • Programmed scripts for analytical visualization and data processing using Python (NumPy, MNE, scikit-learn).
Electrical Engineer
Farzanegan Faranoor, Isfahan
03/2014 — 08/2017
  • Automated specialized metrological testing and visualization platforms using LabVIEW and MATLAB to improve workflow quality.
Education

Academic Background

M.Sc. Electrical Engineering
Technical University of Berlin (TU Berlin), Berlin, Germany
01/2020 — 01/2022
B.Sc. Electrical Engineering
Azad University, Isfahan, Iran
01/2011 — 01/2017
Skills

Technical Expertise

🧠 BCI & Neurotechnology
Cochlear Implant Brain-Computer Interface EEG EMG MEG Biosignal Processing Neuropype
🤖 AI & Machine Learning
Machine Learning Deep Learning Generative AI LLM API Integration Claude Code Codex Computer Vision Computational Neuroscience Data Analysis
💻 Programming
Python MATLAB LabVIEW C SQL HTML
⚙️ Technologies
Git Azure PowerShell Cloud Computing GUI Development
📋 Management
Project Management Agile/Scrum Requirements Quality Assurance Medical Device Software Standards
🌐 Languages
Persian German English
✓
Medical Device Advisor (Medizinprodukteberater)
TÜV SÜD Akademie — §83 MPDG · 02/2025
View Certificate →
✓
Generative AI for Healthcare
Google Cloud · 03/2026
Verify Certificate →
Personal Projects

Things I've Built

💻 Personal Projects
01
NeuroScan AI
Brain Tumor Detection System
A full-stack medical imaging web application that utilizes Claude Vision AI to analyze brain MRI/CT scans, classifying the presence of tumors with confidence ratings, urgency triaging, and detailed diagnostic reports. Implemented retry logic with exponential backoff and an image preprocessing pipeline using Pillow.
Python Flask Claude Vision API Pillow
View Project →
02
Stock AI Agent
AI Assistant for Stock Analysis
A modular investment analysis platform combining real-time market data, technical analysis, Google News RSS feeds, risk assessments, watchlist screening, and explainable reports. Multi-layered architecture featuring providers, analysis agents, shared services, CLI and Streamlit interfaces, with automated testing via pytest.
LLM Python Streamlit Yahoo Finance
View Project →
🎓 University Projects
03
Bio-Inspired Computer Vision
TU Berlin · Apr 2020 – Aug 2020
Implementation of neural recordings and spatiotemporal filtering in Python, based on bio-inspired event-based vision research (dynamic vision sensors mimicking retinal processing).
Python Computer Vision Neuroscience
View Course & Paper →
04
Brain-Computer Interfacing
TU Berlin · Oct 2020 – Mar 2021
Explored structural and functional brain connectivity, and simulated whole-brain dynamics based on the connectome — bridging neuroscience theory with computational brain modeling.
Connectome Brain Simulation Python
View Project →
📄 Publications
05
Intelligent Optimize Interior Lighting
MATLAB Application for Intelligent Optimization Algorithm
Published paper presenting a MATLAB-based application that uses an intelligent optimization algorithm to improve interior lighting design efficiency.
MATLAB Optimization Algorithm Lighting Design
Contact

Feel free to reach out

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