R&D Software Engineer with a strong focus on robotics, automation, and computer vision. I enjoy creating smart, efficient systems and bringing together software engineering and data science to solve complex challenges.
Research project applying Bayesian deep learning to active learning for image classification. Uses uncertainty estimation to select the most informative samples, reducing label cost. Includes published paper & presentation.
Complete machine learning lifecycle — data ingestion, preprocessing, model training, experiment tracking with MLflow, and deployment via Streamlit dashboard and FastAPI serving endpoint.
Built user-based and item-based collaborative filtering recommender systems using cosine similarity and Pearson correlation, with EDA and model benchmarking across multiple approaches.
Image processing pipeline covering filtering, edge detection, morphological operations, and feature extraction using OpenCV (cv2) and scikit-image for real-world image analysis.
Designed a parcel delivery management system from scratch — ER modeling, DDL in PostgreSQL, complex SQL queries for tracking orders, customers, transporters, and parcel states across a supply chain.
In-depth exploratory data analysis of crime statistics using Pandas, Matplotlib, and Seaborn. Uncovered patterns, trends, and correlations with a comprehensive final report.
Focused on algorithmic programming, machine learning (including NLP and computer vision), cloud computing with AWS, and both relational and NoSQL databases.
Studied core mechanical engineering with coursework in thermodynamics, fluid mechanics, manufacturing processes, and engineering design. Built a strong analytical foundation that later transitioned into software engineering and robotics.
📍 Vienna, Austria · Open to Remote & Relocation