- Development of RAG-based chatbots for employee and customer service to deliver dynamic, context-aware responses for complex queries.- Development of rasa-based chatbots for employee and customer use, focusing on automating workflows, FAQs, and task execution through NLU pipelines and custom dialogue management.

At Prophecy Labs I help companies automate complex work, optimize business processes, and predict events that impact business. Some relevant projects I have been a part of:Developing customized digital assistants using Large Language Models (LLMs) and Vector Databases in AWSSpearheading lead campaign for customer acquisitionDesign and implementation of end-to-end AI and data solutions

Developing ML Pipelines serving an AI powered application that identifies emerging trends on the job market and links profiles to relevant opportunities using Large Language Models (LLMs)Management of cloud infrastructure and development environments in AWS and terraform

Migration of legacy Python GIS application from on-premises infrastructure to Microsoft Azure cloud platformDevelopment of multi-container dockerization strategy

At TVH, I advance the pricing departments in-house dynamic pricing system andinfrastructure through:• development and maintenance of a full stack analytics application in Flutter/Python.• design and implementation of GCP infrastructure to connect internal pricing services.• development and implementation of time series outlier detection solution for pricing data

At Stadim, I engineered a machine learning model for automatic valuation of real estate. Withinthe Data Team here, I spearheaded • implementation and optimization of end-to-end Machine Learning pipelines on Azure.• development of a Machine Learning approach to predict model uncertainty.• setup of data acquisition and preparation pipelines for geospatial data.

Predicting legal recourse potential of insurance cases via Natural Language Processing and Machine LearningSupporting the development of a cloud-based central data environment in AWS and Snowflake

Developing an automated Machine Learning pipeline including data preparation, feature selection, model optimization, inference analysis and client scoring for fraud detection modelsAssessment of specialized fraud detection casesData cleaning and optimization of data preparation pipelines

Predictive Analytics:- Predicting the effects of tariff price drops on customer acquisition and retention via machine learning in Python- Assessing the drivers of store performance and predicting the impact of closures via statistical modeling in RProcess Automation: - Automating the calculation of the net present values of the tariff portfolio in Python

Sales and Business DevelopmentMarket introduction of a CRM tool specialized for the solar industry

Led the Executive Board consisting of 5 vice presidentsEngaged in strategic planning and monitored the local comittees’ activitiesRepresented the local comittee in front of internal and external stakeholders

Led a team of 9 membersSupported participants in social projects abroad Optimized the customer flow

Formulated and examined empirical hypotheses in labor market economics via time series models (bachelor thesis)Title: "Low wage growth despite high labor market tightness - does a new tightness measure solve the puzzle?“"