Responsible For:- Developing and maintaining a FastAPI backend - Designing a Recommendation Model- Preprocessing and transforming data for modeling- Collecting data for Future ML models- Researching and implementing prompts and techniques to get the most value out of LLMs- Processing and preparing data to fine-tune LLMs for improved performance- Evaluating LLM performance based on accuracy, coherence, creativity, and human alignment

Responsible For:- Researching and implementing prompts and techniques to get the most value out of LLMs- Processing and preparing data to fine-tune LLMs for improved performance- Evaluating LLM performance based on accuracy, coherence, creativity, and human alignment

Supervisior: Dr Wajid- Worked on an assistive robotic arm controlled by EEG signals.- Used Emotiv Epoc X headset to control a robotic arm by classifying signals using deep learning model EEGNet modified with attention.- Developed a pipeline capable of translating EEG signals to arm movements.- Paper in review for publication in IEEE conference proceedings.