Copenhagen, Capital Region of Denmark, Denmark
I’m a software developer with a background in aerospace and data science, currently building Mimira—a startup helping businesses discover and win public tenders through intelligent search and automation. I especially enjoy working at the intersection of NLP and DevOps, where I design scalable pipelines that process large volumes of text using both classical NLP and modern LLMs. I’m deeply interested in building reliable and secure cloud infrastructure that enables the efficient deployment of AI-powered systems at scale.
As the first engineer at Mimira, I designed and built the core matching algorithm and data pipeline that help many companies discover relevant public tenders on a daily basis. Acting as the AWS solutions architect, I was also responsible for designing and deploying a scalable, secure cloud infrastructure to support the platform in production.
I am taking part in a project that aims to enhance automation and efficiency within our operations by leveraging advanced machine learning techniques: LLMs, CV, NLP as well as cloud services. - Designing and implementing machine learning solutions. - Coding and fine-tuning models for optimal performance. - Collaborating with clients to understand needs and translate them into technical features. - Participating in the architectural design of solutions. I designed, fine-tuned, and optimized a RAG-based chatbot that was successfully brought to production, overseeing all steps from development to deployment on our local GPUs
2-year program consisting of four 6-month assignments in different teams, intense 9 month engineering course and many seminars. During those 4 rotations I have: - Developed an app for data retrieval from scanned engineering analysis reports using optical character recognition and natural language processing - Worked in multidisciplinary environment to do a performance evaluation of distress prediction model - Developed a machine learning model for shop visit workscope prediction - Developed automatization scripts in Python for preprocessing and post processing of data for in-house CFD tool - Performed technical analysis to assess whether non-conforming part can be used on CF6 engine.
- I was responsible for keeping the aircraft airworthiness documentation up to date. - Preparing and sending out tasks to be performed on the Bombardier Q400 aircraft during line maintenance. - Passed the Gen Fam certification for Embraer ERJ 190/170 aircraft: 20h course going through each of the aircraft systems: starting from mechanical structure through navigation systems ending on engine architecture. - Gained experience in yet another sector of commercial aviation.
- Performed aircraft component exchanges, repairs and inspection on Bombardier Q400 aircraft during base maintenance. - Gained practical knowledge about safety in aviation, procedures and aircraft documentation. - Increased my understanding of aircraft systems and mechanical structure.