🎓 Master's in Data Science (Universität Mannheim, Germany)
📊 Passionate about Deep Learning, NLP, and GenAI
- Programming Languages: Python, SQL, R
- Frameworks & Tools: PyTorch, HuggingFace Transformers, LangChain, Streamlit, MLOps, Power BI
- Cloud & DevOps: Azure AI Studio, Docker, Git
- Specialized Areas: LLMOps, Retrieval-Augmented Generation (RAG), Parameter-Efficient Fine-Tuning (PEFT)
- Researched advanced Parameter-Efficient Fine-Tuning (PEFT) combined with quantization for large language models (LLMs).
- Achieved 40-60% memory reduction while maintaining high model accuracy.
- Evaluated computational trade-offs, enabling large model deployments in constrained environments.
- Developed an AI-driven assistant using Automatic Speech Recognition (ASR) and Retrieval-Augmented Generation (RAG).
- Fine-tuned LLMs for recipe guidance, achieving 91.3% accuracy in responses.
- Enabled hands-free navigation and multilingual support for accessibility.
- Built solutions to identify and combat AI-generated misinformation.
- Implemented ensemble models for text and image detection.
- Participated in the Informatics Cup 2024, showcasing cutting-edge AI security innovations.
“Turning data into insights, and insights into action.”