Satheshkumar K.
Background
PhD from Western Norway University of Applied Sciences. I enjoy working at the intersection of applied AI research and hands-on software development. My focus is on creating practical tools that help solve meaningful challenges. Currently, as a postdoctoral fellow at the Mohn Medical Imaging and Visualization Centre (MMIV), my work involves research and development of AI solutions for medical imaging, in close collaboration with radiologists.
Experience
Postdoctoral fellow
Mohn Medical Imaging and Visualization Centre (MMIV), Haukeland University Hospital | 2025 - Present
Conducting research and development of AI solutions for medical imaging as part of the ASIS (AI-supported services for image-diagnostics in Western Norway) project, in close partnership with radiologists.
Data scientist
Lerøy Seafood, Bergen | 2023 - 2025
- Built MLOps infrastructure in Databricks, automating model deployment and launching two production-grade salmon price prediction models
Partner
AkademiX | July 2023 - Present
Co-founded a consulting company focused on artificial intelligence solutions and knowledge sharing.
Assistant professor II
Western Norway University of Applied Sciences | 2021
Held a 20% position during PhD studies for teaching ML course for third year BSc students.
Data scientist
Bouvet ASA, Bergen | 2019
Worked part-time during my masters.
Researcher
University of Bergen, Department of Biomedicine | 2019-2020
Teaching assistant
Western Norway University of Applied Sciences | 2015 - 2018
Assisted in teaching various software engineering courses. Conducted lab sessions and graded assignments.
Summer Intern
Capgemini | 2018
Summer Intern
Nordea Liv | 2017
Internship
Vizrt, Bergen, Norway | 2016
Education
PhD in Computer Science
Western Norway University of Applied Sciences | 2020-2023
Thesis: Deep learning in medical image analysis: efficient use of data and radiological expertise
MSc in Software Engineering
University of Bergen | 2019
Thesis: Deep transfer learning in medical imaging
BSc in Information Technology
Western Norway University of Applied Sciences | 2017
Skills
Languages
Primary programming language
Tools
Publications
fastMONAI: a low-code deep learning library for medical image analysis
S. Kaliyugarasan, A.S Lundervold
Software Impacts, 2023
Source codeMulti-Center CNN-based spine segmentation from T2w MRI using small amounts of data
S. Kaliyugarasan, A.S Lundervold and others
20th IEEE International Symposium on Biomedical Imaging (ISBI), 2023
Source codeLAB-Net: Lidar and aerial image-based building segmentation using U-Nets
S. Kaliyugarasan, A.S Lundervold
Nordic Machine Intelligence, second place 2022 NORA MapAI competition
Source codeFully automatic whole-volume tumor segmentation in cervical cancer
E. Hodneland, S. Kaliyugarasan et al.
Cancers, 2022
Teaching
Teaching Experience
Courses
DAT158: Machine learning engineering and advanced algorithms (Fall 2021)
Supervision
MSc Projects (co-supervision)
2020-2022: A workflow-integrated brain tumor segmentation system based on fastai and MONAI
BSc Projects (co-supervision)
- 2024: Large language models and fish health
- 2025: Deep learning for quality control of fish fillets
Talks and travels
Kunstig intelligens i medisinsk bildediagnostikk
Inspirasjonsdag for realfagselever, Western Norway University of Applied Sciences, Bergen, Norway
November 14, 2025
AI in medical imaging and reporting
MMIV seminar, Bergen, Norway
September 4, 2025
Lerøy og kunstig intelligens
Inspirasjonsdag for realfagselever, Western Norway University of Applied Sciences, Bergen, Norway
November 4, 2024
Hvordan jobber vi med kunstig intelligens?
Springbrett, Grieghallen, Bergen, Norway
September 24, 2024