Deep Learning with PyTorch

she/her

Machine Learning Engineer & Data Scientist | Expert in Computer Vision

Experienced machine learning engineer and data scientist with extensive expertise in automated image processing and working with unstructured data. Katharina has been involved in numerous international research projects and earned her Ph.D. in the field of smart microscopy. During this time, she taught lectures and seminars at a major German university to help electrical engineering and mechatronics students develop key AI and deep learning skills. Tools & Frameworks: PyTorch, TensorFlow, scikit-learn, pandas, PySpark, NumPy, MLflow, MatLab, Snowflake, Amazon Web Services, and Databricks

he/him

Senior Machine Learning Engineer

Machine Learning Engineer and Software Architect with 15+ years of experience, specializing in deep learning, NLP, and LLM-based systems. Strong focus on designing and deploying end-to-end AI pipelines, including model fine-tuning (LoRA/PEFT), retrieval-augmented generation (RAG), and high-performance inference with modern frameworks such as PyTorch, Hugging Face Transformers, and vLLM. Experienced in building agentic systems using LangChain and LangGraph, as well as developing scalable backend services in Python. Combines solid software engineering principles with hands-on expertise in data-centric AI to deliver robust, production-ready solutions.