Welcome to my GitHub profile! I'm a PhD student at Imperial College London, with a focus on Large Language Models. My research aims to improve LLMs by identifying their limitations and enhancing their understanding capabilities.

1. Scientific Language Models

   • Developing models tailored for scientific literature and discourse.
   • Enhancing the accuracy and efficiency of LLMs in understanding and generating scientific content.

2. Factually Correct Fair Representations

   • Ensuring LLMs generate factually accurate and unbiased outputs.
   • Researching methodologies to mitigate biases and enhance fairness in model predictions.

• AI Research Intern @ IBM Research

  • Developed a computational feedback based fine-tuning method for harnessing generative capabilities of large language models on sensitive downstream tasks where human evaluations are ambigious and expensive to obtain.

• Machine Learning Engineer II @ Comcast NBCUniversal

  • Implemented machine learning solutions to improve the forecasting models for click-rate, video-completion rate and as such metrics.

• End-to-End Large Models Training
  • Investigating the secrets of efficient training processes for large models.
  • Sharing insights and methodologies to contribute to public knowledge in this domain. An outdated but quite detailed chronicle for 175B model training
  • Favourites repos so far: GPT with C/CUDA , Llama3 from scratch