06/12/2025 updated


100 % available
SENIOR ML/SOFTWARE ENGINEER AND ARCHITECT
Videm pri Ptuju, Slovenia
Only remote
MSc Computer ScienceInnovationJava (Programming Language)Agile LeadershipArtificial IntelligenceMobile Application DevelopmentCloud ComputingDatabasesConsultingDevOpsForecastingInformation SciencesMobile Application SoftwarePython (Programming Language)PostgreSQLLiquibase
I am a highly skilled software architect and engineer with extensive experience in mobile application development, microservices, and machine learning. Passionate about cutting-edge technologies, I have successfully authored several mobile applications, including Songify, which gained over 150,000 downloads and 5,000 daily users before being sold.
My expertise spans software architecture, cloud computing, and AI-driven solutions. I have worked on high-impact projects for industry leaders such as Krka d.d., where I leveraged machine learning for disease detection.
My proficiency in Kubernetes, Docker, database management, server administration, IoT, and AI enables me to tackle complex challenges effectively.
I have experience leading teams and managing intricate technical projects. As a software engineer at Sunesis d.o.o., I developed microservices using Java, led the Legacy Protocol Converter project, and presented at the Embedded Open-Source Summit in Prague.
Additionally, I have worked as an ML engineer on healthcare applications, building AI models for disease prediction and chatbot integrations.
Currently, as a self-employed professional, I am developing Retrieval-Augmented Generation (RAG) systems using Sentence Transformers and LLMs, managing vector databases, and consulting on ML and software architecture.
With a strong academic background, including a Master's degree in Computer and Information Science from the University of Ljubljana, I have consistently demonstrated technical excellence and innovation in my work. My broad skill set, ranging from Android and iOS development to cloud and AI technologies, makes me a versatile and forward-thinking engineer.
My expertise spans software architecture, cloud computing, and AI-driven solutions. I have worked on high-impact projects for industry leaders such as Krka d.d., where I leveraged machine learning for disease detection.
My proficiency in Kubernetes, Docker, database management, server administration, IoT, and AI enables me to tackle complex challenges effectively.
I have experience leading teams and managing intricate technical projects. As a software engineer at Sunesis d.o.o., I developed microservices using Java, led the Legacy Protocol Converter project, and presented at the Embedded Open-Source Summit in Prague.
Additionally, I have worked as an ML engineer on healthcare applications, building AI models for disease prediction and chatbot integrations.
Currently, as a self-employed professional, I am developing Retrieval-Augmented Generation (RAG) systems using Sentence Transformers and LLMs, managing vector databases, and consulting on ML and software architecture.
With a strong academic background, including a Master's degree in Computer and Information Science from the University of Ljubljana, I have consistently demonstrated technical excellence and innovation in my work. My broad skill set, ranging from Android and iOS development to cloud and AI technologies, makes me a versatile and forward-thinking engineer.
Experience
Professional experience5 - 10 years
Freelancer since2019
Languages
GermanFluentEnglishNative speakerCroatianFluent
Project history
Project lead for Legacy Protocol Converter
https://github.com/Horizont-Europe-Interstore/Legacy-Protocol-Converter
https://github.com/Horizont-Europe-Interstore/Legacy-Protocol-Converter
Project Flebi for Krka d.d.
Developed machine learning model for the recognition of Chronic
Venous Disease (CVD)
Developed a chatbot for a mobile application that utilizes a machine
learning model to predict the risk of diseases
Developed with python
Developed machine learning model for the recognition of Chronic
Venous Disease (CVD)
Developed a chatbot for a mobile application that utilizes a machine
learning model to predict the risk of diseases
Developed with python