William E. H. Qvaale Email & Phone Number

Oslo, No

Oslo, Norway

Challenging the econometrical approach to producing time series predictions, with a data driven approach utilizing both traditional machine learning and novel deep learning methods.Member of the Central Banks AI Task Force. Strategic advisory on AI for the bank. Developing pilots utilizing Generative AI and focusing on upskilling the organization.

Oslo, Norway

Standardized ELT pipelines and built a source agnostic framework.

Oslo, Norway

In addition to my tasks as a Software Engineer, I had responsibility for all student-related activities, developed budgets, aided in recruiting candidates, held version control courses and mentored interns. Built processes and wrote documentation for technical onboarding of new junior engineers. Strise’s technology is able to discover relevance and patterns in large volumes of external and unstructured data through the utilization of a rich and continuously evolving Knowledge Graph.A complete machine learning ecosystem for handling all stages from supervision and training of models, to evaluation and operational deployment is engineered. The system is designed to scale and built on a flexible cloud infrastructure and state-of-the art big data frameworks serving both stream, batch and graph processing. Reinforced with strict quality assurance, multiple levels of testing, monitoring and analytics, Strise delivers a world-class technology platform performing beyond established industry standards in areas of machine learning, code quality, and product usability.

Oslo

Mainly focused on the backend with Scala and Neo4J. Worked on the frontend written in TypeScript with React. Part of developing "the future of KYC" by integrating new sources of data, building business logic and pipelines to compute incoming business information, enriching Strise’s knowledge graph and exposing it in the API by utilizing GraphQL, Sangria and ElasticSearch.

Trondheim Region

Worked part-time alongside writing my master thesis, as an intern. Primarily spent my time backend. In addition to this I solved machine learning related tasks. Wrote production-ready code in a TDD-inspired fashion.

Trondheim

● Applied Data Science [TDT4259] ● Experts in Teamwork [VL3800]● Programming and Numerics [TDT4127]● Introduction to Information Technology - Python [TDT4110]● Teknostart for Computer Science (MTDT)

Summer Intern in the Checkout & Processing departmentDeveloped a mobile wallet app concept to enable "click-and-pay" functionality from Nets’ Easy Checkout. Designed and developed a SPA in Vue with TypeScript and BootStrap, a mobile application in Flutter with Dart with backend in .NET Core with C# and MongoDB for storage.

Summer Intern at ITverket AS (acquired by Omegapoint in 2022).Worked in a group of 5 developers on the Emergency Alert Systems at Ice Norge AS. Developed a portal to manage alerts in .NET Core with C#, Azure Functions, MySQL and SendGrid.

Brunssum, Nederland

Joint Force Command Headquarters OR-4Conscript year in the military. Had a wide variety of tasks, ranging from running the Norwegian Support Element on the Joint Force Command Headquarters, accounting and chauffeur missions for the Brigadier General.

Master'S Degree, Computer Science

Specialization in artificial intelligence. https://github.com/ML4ITS/mtad-gat-pytorch

Master'S Degree, Computer Science

Activities and Societies: Dean’s Commendation for Academic Excellence Exchange semester. Courses in computer vision, graph network.