Rohde & Schwarz is an industry-leading multinational tech firm specializing in network communication, measurement & testing technologies, and cyber security. Rohde & Schwarz was established in 1933 and has been serving in over 70 countries globally.

Integrated AI/ML solutions into internal software development tools, leveraging GPT-4o LLM and Vision models to enhance efficiency and automation.

Designed and implemented pipelines for training and fine-tuning Large Language Models (LLMs) using LoRA (Low-Rank Adaptation) such as Meta Llama 3.1 and 3.2 (1b, 3b, 8b, 70b) for internal applications.

Researched and applied advanced AI techniques, including Retrieval-Augmented Generation (RAG), utilizing BGE Large v.1.5, Chroma, Langchain, and NLTK to improve software functionality.

Developed data preprocessing pipelines for efficient and scalable AI Data Analysis Models (PandasAI), capable of handling multidimensional tabular data (50,000+ rows and 20 columns).

Conducted extensive testing and validation for AI classification tasks using multiple datasets, ensuring accuracy and reliability across varying LLM parameter configurations.