Fine-tuned and deployed image-to-image models such as Stable Diffusion and Llama for a web-based application. A custom data preparation microservice was designed using web crawling techniques utilizing SerpApi. Additionally, a REST-API was developed to integrate with the Stable Diffusion model, with deployment managed on AWS using Pulumi, ensuring robust and scalable application performance.

- Developed the Volume Tool, a software solution for precise volume measurements in industrial settings, using Python and OpenCV for image processing and volumetric analysis.- Created the Tire Wear Application, employing Python and Bash scripts for analyzing real-time weather data to identify tire wear issues, contributing to advancements in automotive safety.- Worked on a mini web application with React, focusing on backend testing and UI improvements, which enhanced user interaction… Show more - Developed the Volume Tool, a software solution for precise volume measurements in industrial settings, using Python and OpenCV for image processing and volumetric analysis.- Created the Tire Wear Application, employing Python and Bash scripts for analyzing real-time weather data to identify tire wear issues, contributing to advancements in automotive safety.- Worked on a mini web application with React, focusing on backend testing and UI improvements, which enhanced user interaction and operational functionality. Show less

- Specialized in enhancing camera calibration for conveyor belt scanners, employing Hough Transform and advanced computer vision techniques to correct image distortions.- Conducted comparative tests and utilized Python for optimizing calibration algorithms, significantly enhancing image accuracy and reliability in scanning applications.

- Supported the machine learning team in developing auto-identification software for documents, improving efficiency and accuracy in identity verification processes.- Enhanced document creation and modification processes with Java in IntelliJ and contributed to an agile data labeling process, streamlining project workflows.

- Developed an approach to ensure functionally safe machine learning functions in compliance with ISO 26262, focusing on the integration of ML in automotive safety systems.- Analyzed and applied standards for software development and machine learning pipelines, contributing to the advancement of functional safety in automotive applications.

- Delivered comprehensive front-end and back-end development solutions for Industrial and Financial Systems (IFS) Scandinavia, utilizing C#, PL/SQL, and IFS servers.- Underwent extensive training in Field Service Management, Java, Oracle PL/SQL, C++, and Microsoft Visual Studio, enhancing project delivery and client satisfaction.