Empowering blind people through AI innovation.

Worked as a part of the Research department on various topics around Machine Learning and Computer Vision1. Probabilistic Dataset Drift Localization2. Few-Shot Visual Anomaly Classification

Worked as a Student Data Scientist on:1. Big data analysis: Pyspark, Hadoop, AWS, Docker.2. NLP: Building a specialized language model for a specific domain.3. Implemented a custom cluster matching algorithm that merges embeddings of graph nodes with embeddings from the LM to match inventory items across different manufacturers using different lexica.

In this project, I worked closely with my supervisors and engineers from ZEISS to extend the anomaly detection model developed during my Bachelor thesis with explainability dashboard, which translated in a production-ready software.Implemented an Anomaly monitoring dashboard that manages pipelines for:1. Preprocessing recorded data.2. Training newer model versions according to the new recorded data 3. Using these model for online data monitoring

• Java Frontend/Backend dev.• JBoss application server.• Database management.