Experience¶

Machine Learning Engineer¶

October 2022 - Present
Developing machine learning models for video analysis, object detection, leveraging large language models for semantic understanding, speech-to-text for audio analysis, text classification for content categorization, text summarization for concise insights, and translation for cross-lingual applications.
Ensuring the smooth daily operation of cloud compute resources, optimizing resource allocation and performance for model training and deployment.
Technologies used: Python, HuggingFace, PyTorch, FastAPI, OpenCV, Docker and Git.
Lead developer on AI translation project between Danish and Kalallisut. nutserisoq.gl
Developer on social media monitoring tool with speech-to-text, gender, age, and expression analysis of content. tool.creatornation.io/
Developer on a general python package for interfacing with various APIs. mediacatch

August 2021 – October 2022
Developed new functionalities for mobile robots, robot arms, and advanced software and vision technologies.
Ensuring code quality standards through rigorous code review and implementation of best practices.
Developed and executed comprehensive test plans to ensure the delivery of high-quality, robust software applications.
Technologies used: C++, ROS, OpenCV, Python, PyTorch, Docker, and Git.
Developer on FacilityCobot a project about clearing and wiping tables in a cafeteria with a robot. FacilityCobot

JM-Sytems

March 2018 – September 2019
Developed a web app for financial accounting using Microsoft .NET Core and Microsoft Azure.
Technologies used: C#, JavaScript, HTML, and SQL.
Employed in parallel with my studies.

Kystskolen

September 2015 – August 2016
Worked as a substitute teacher, gaining experience in classroom management and student interaction.

Netto, Dansk Supermarked

March 2012 – September 2016
Member of the store management team, responsible for store operations in the absence of the store manager.
Developed management and customer service skills.

Netto, Dansk Supermarked