• Designed and developed an extendable Python-based agent platform and supported various RAG workflows and tool use scenarios.

• Developed customer-specific data processing pipelines and used Azure AI Search for efficient information storage and retrieval.

• Implemented customer-specific platform modifications and mentored junior developers.

• Identified business processes that can benefit from cutting-edge AI technologies like LLMs.

• Analyzed the potential of LLMs in existing business processes.

• Evaluated technical feasibility and estimated effort for implementing prototypes, identifying innovative use cases for LLMs.

• Providing strategic AI consultancy and tailored AI software solutions.

• Working on AI product and prototype development.

• Developed a scalable RAG system for knowledge management.

• Implemented scalable containerized microservice architecture and integrated multiple knowledge bases.

• Enabled efficient use of open-source LLMs for question answering.

• Developed customer use cases of LLMs (i.e., GPT) for internal process automation.

• Trained staff on fundamental concepts of Large Language Models.

• Worked on a feasibility study and PoC design.

• Developed a concept and prototype to extend a Machine Learning training pipeline.

• Tracked model retraining with MLFlow.

• Visualized and compared models based on their model performance.

• Built a spare part observability platform for Siemens customers.

• Developed a cloud-focused system architecture to enable deployment on AWS spot instances.

• Rearchitected the data processing back end and extending data models.

• Developed an analytics platform using voice analysis to understand customer interests and demands.

• Developed and maintained a voice analytics pipeline running on AWS.

• Built a Tableau-based dashboard for business analysts.

• Developed new encoding types and improved existing ones for synthetic data generation.

• Built internal tooling for reproducible model training.

• Provided technical guidance and resolved issues for customer PoCs.

• Developed new algorithms and implemented new scalable ML systems.

• Supported customers to make use of synthetic data in order to unlock data vaults and accelerate model development.

Worked on solution-focused development of data science projects for customers from various industries.

• Developed data analysis applications for neuroscience researchers.

• Developed hardware control software for behavior experiments.

• Created network analysis tools for structural and behavioral neural measurements.