Savo Simeunovic

Developed a production AI agent system for automatic bug ticket solving. The system analyses many different sources of information about the ticket, describes the cause of the issue, and provides solutions in the form of ready-to-review pull requests.

Developing innovative ERP solutions using AI and ML techniques, focusing on large-scale agentic systems for business use cases

Developing a Generative AI Application for Clinical Reporting: Leveraging LLMs for R-Code Generation

Developing an R package to perform different hyperparameter tuning algorithms from different R packages

Data Scientist developing Business Intelligence solutions in AWS and Firebase, focusing on ETL processes

I was part of a team developing an object detection model where I am further improving the data pipeline, including image labeling and pre-processing, model training, and hyperparameter tuning. I managed to significantly improve the old’s model performance from 0.63 to 0.7 according to COCO metric mAP.50.