Support the Python programming and foundational AI/ML course [DTE-2602 Introduksjon maskinlæring og AI], guiding students in programming, algorithms, and course materials. I also assist in Operating Systems [DTE-2505-1 23H] and Artificial Intelligence and Intelligent Agents [DTE-3606-1 24H] courses.

Math assistance (Matte1 og Matte 2) to students.

Development of an Intelligent Baggage Handling System using Computer Vision for Avinor AS.• Image Processing: Utilized the OpenCV Python library for luggage feature identification.• Object Detection and Labeling: Applied TensorFlow's Object Detection API and tools like YOLO (You Only Look Once) and Grounding DINO for object recognition and labeling in images.• Classifier Testing: Experimented with classifiers such as Support Vector Machines and Random Forests.• Neural Network Implementation: Incorporated frameworks like Keras, PyTorch, and SAM from MetaAI to implement CNNs and RNNs.

Taking responsibilities of Business Development Advisor and Crisis and Continuity Manager.

Volunteering position in Algoritmi which is UiT Campus Narvik based student club for those who want to learn or improve their programming skills, be better prepared for job interviews and socialise. Algoritmi is a part of Narvik Student Society.

Integrated petrophysical studies and machine learning applications in the O&G employing Python for process automation and data analysis.

Providing physics, Python programming, and math assistance (Matte1 og Matte 2) to students.

• Integrated petrophysical studies and petrophysical modeling of the projects in Russia, Egypt, Vietnam, Cuba, Kazakhstan, Uzbekistan (carbonate and clastic reservoirs) within a multi-disciplinary environment utilizing Python for automating petrophysical data acquisition.• Consistent petrophysical interpretations, culminating in fully documented petrophysical models which describe the distribution of fluids within reservoirs, for eventual implementation in 3D static modelling and dynamic simulation in order to predict the hydrocarbon flow potential of the rocks.• Petrophysical data acquisition and processing including wireline and MWD/LWD logs, core measurements (conventional and SCAL), formation pressure measurements (including fluid sampling), production logging, and cement evaluation.

• Integrated formation evaluation analysis incl. the data of nuclear, acoustic, image, nuclear magnetic resonance logs and pressure testing in Russia, China, Kazakhstan, Uzbekistan, Turkmenistan (carbonate and clastic reservoirs).• Full-wave sonic log processing and interpretation (CXD, XMAC).• Image log processing and interpretation (CMI, FMI, STAR).• Interpretation of formation testing, test results, mini-DST (RES, MDT, RCI).• Hands-on experience in an interdisciplinary team as part of projects in Western Siberia utilizing Python for various automation and data analysis tasks.

Processing and interpretation.• Open hole WL & pipe-conveyed logging, LWD.• Open hole log data analysis, formation evaluation, QC, well-to-well correlation.• Horizontal well evaluation.• Induced spectral gamma-ray logging interpretation.• Sonic log evaluation (monopole and cross-dipole waveform acoustic logging, DTC - compressional, DTS - Shear, Stoneley waves, anisotropy, rockmechanical properties estimation).• Cement cased hole evaluation (scanning cement-bond sonic logging, gamma-gamma cement-bond logging, electro-magnetic fault detector).Professional engagement and interaction with geophysical software company (GeoPoisk).

Processing and interpretation of well integrity logging.

Internship as an assistant in wireline logging operations(russian tools, open-hole and cased-hole logging services).