Product
Discovery, strategy, roadmaps, and prioritization.
Background / Mohammed R. S. Sunoqrot
I lead AI products
from strategy through
delivery.
I am an AI product and innovation leader with a PhD in Medical Technology and 10+ years of experience in AI. My work connects the questions a product needs to answer with the research, engineering, and people needed to deliver it.
What I bring
From direction
to delivery.
I turn complex AI opportunities into clear product priorities, align multidisciplinary teams, and stay hands-on through building and validation.
Skills at a glance
Core skills.
Leadership
Teams, stakeholders, funding, and partnerships.
AI & engineering
Python, machine learning, LLMs, and RAG.
Validation
Clinical evaluation, data governance, and regulatory preparation.
The journey
From research depth
to product ownership.
2026 / Independent products
Building, testing, and learning directly.
With Rasid and Healdar, I work across product strategy, user experience, implementation, and delivery. Rasid is in private testing and commercial validation; Healdar is a public beta. Both give me a direct connection between product decisions and working software.
Explore Rasid ↗2022–2025 / Product & innovation at NTNU
Taking a demanding AI product forward.
PROVIZ brought together discovery, clinical workflows, funding, regulatory preparation, and commercialization. I led product and innovation work through that journey, helping move the technology from early research to prospective clinical validation, with findings published in Insights into Imaging.
Explore PROVIZ ↗2017–2021 / Doctoral & applied research
Building the technical foundation.
My research focused on AI for prostate MRI, including detection, normalization, and segmentation quality. Alongside research, I developed open-source tools and contributed to international collaboration.
2018–2025 / Concurrent data & cloud work
Making research infrastructure usable.
Managing research cloud environments and sensitive imaging data taught me to treat reproducibility, access, support, and data governance as essential parts of delivery.
Foundations
A broader perspective.
Biomedical engineering to medical AI.
PhD in Medical Technology at NTNU; MSc in Biomedical Engineering with distinction at the University of Dundee; BSc at the German-Jordanian University, including an exchange year in Germany.
Leadership beyond the workplace.
Leading youth and education programmes, coordinating volunteers, and serving in sports-club leadership have shaped how I listen, build trust, and bring people together. These experiences inform how I lead teams—with clear direction, shared responsibility, and attention to the people doing the work.
Working across contexts.
I work in English and Arabic and speak intermediate Norwegian. My experience spans academic research, clinical teams, innovation programmes, and independent product development.
Let’s talk about what
your product needs next.
I am looking for AI product lead and product management roles where I can own direction, guide a cross-functional team, and stay close to technical delivery. I am particularly interested in products that need both strong AI judgment and a clear path to real-world use. Applied AI research leadership is a complementary fit.