In today’s world of everything distributed, making a system do the right thing is not always an easy task. In addition, requirements constantly evolve and business owners often like to use the newest and shiniest advancements. Developing software systems in a maintainable manner with focus on correctness becomes then a challenge. And we are up for that challenge - our software engineers usually consider the case more interesting, the more complex it gets.
Consultants at Expert Analytics have participated in large systems development projects with many of our clients, and often take on roles as tech lead, lead developer or technical architect. And we are eager at keeping up with modern trends such as variants of agile development, test-driven development, and DevSecOps. A narrow view on the programming environment is not sufficient, but rather a holistic view that includes databases, run time and testing environments, continuous integration and deployment in addition to the development environment itself.
When it comes to the actual tools to be used in a project, we try to be pretty agnostic. The preferences and competences of the client are usually the deciding factors when several tools can do the job. We are fine with that - and will adapt - as through the years we have come to understand that a tool often just decides the syntax. We contribute with a deeper understanding and the ability to solve the problems at hand - solutions can then be coded up in the selected environment. There are however situations where we understand that a tool is very wrong for the problem to be solved, and then we will speak out.
To get the full scope of the languages, tools, and environments that Expert Analytics can apply to your project, the individual CVs of our employees must be consulted. What we most often use is Python, Java, Go, and C++. We have worked extensively with Postgres, Azure SQL, Google Datastore and Firestore, and Cosmos DB. For continuous testing and integration we are familiar with most of the main players, and we have deployed on Google, Azure, and Amazon cloud solutions.
Alexander is a senior software developer specializing in backend and system development in Python. His experience with Python dates back to 2010, and he has been working professionally with system development in Python since 2018. During his career, he has worked in several platform and product teams in both the public transport sector and the energy sector. Alexander holds a master’s thesis in computational quantum physics from the University of Oslo.
Daniel is a seasoned software developer with a PhD in neuroscience, specializing in data analysis and cloud software development. With expertise in multiple stages of project development, Daniel’s work spans from the initial definition of project goals and value propositions to the deployment of final products, including services, dashboards, reports, production models, and APIs. His background in neuroscience provides a strong foundation in complex data processing and analysis, allowing him to tackle challenging problems in diverse domains. He started working professionally with software development in 2016.
Guttorm is a curious person with an interest and enthusiasm for technology and problem solving. His academic background is focused around applied mathematics, programming, and physics. He submitted his master’s thesis the summer 2017 in the field of Computational Science and Engineering at the University of Oslo / Simula.