I'm a PhD-trained physicist based in Sydney, Australia, with a background in MedTech, optical engineering, biomedical imaging and technical application support.

I am currently building applied AI tools for technical support, scientific workflows and MedTech product operations.

• Applied AI agents for technical and scientific workflows
• MedTech support automation, service triage and support operations analytics
• Python, Streamlit, pandas and LLM-assisted applications
• Optical systems, biomedical diagnostics and technical product development

A prototype support workflow tool for MedTech device issue triage and service-ticket analytics.

The app combines a structured triage assistant with a service-ticket dashboard. It demonstrates how domain-specific MedTech support logic can be turned into a simple deployed web application.

Current features include:

• device type selection
• device-aware issue classification
• severity estimation
• escalation recommendation
• human review flag
• customer follow-up questions
• safe first-level troubleshooting steps
• copyable and downloadable internal service note
• synthetic service-ticket dataset
• dashboard metrics for support operations
• charts by device type, severity, and human review requirement

Live demo: https://medtech-ai-support-agent-v1.streamlit.app

Repository: https://github.com/NikoLipey/medtech-ai-support-agent

• PhD in Physics / Photonics and Optical Engineering
• Experience across MedTech, biomedical imaging, optical systems and technical support
• Interested in AI-enabled workflows for healthcare, scientific instrumentation and product teams

LinkedIn: https://www.linkedin.com/in/nikolaylipey