Rean Fernandes

Research on LLMs in Legal Applications : - Supervised Fine-tuning: Fine-tuning and evaluation on legal examinations. - Dataset curation for Alignment: Curating preference datasets to implement DPO and other alignment techniques. - Decoding methods: Working on various decoding methods to improve legal question answering at test time.

- Guided students through exercises and assignments. - Helped clarify and explain complex course materials and deep learning concepts. - Assisted in one-on-one and group sessions to improve students' understanding. - Assisted with course administration and instructional tasks.

- Dataset curation for legal question answering in Generative Language models ( LLAMA, Mistral) - Creation of customised text extraction and processing pipelines for benchmarking LLM performance for both fine-tuned and base models.

GPA 2.3 - Foundations in AI and Computer Vision (2021): Broad exposure to core ML concepts. - Advanced Control Systems and Optimization (2022): Specialized in numerical methods and robotics though miniprojects. - Reinforcement Learning and Deep Learning Focus (2023): Excelled in practical ML applications with lab courses. - LLM Specialization and Legal AI Research (2024): Master Thesis at the Machine Learning Lab.

GPA: 1.67