Tejas Agrawal is a B.E. student specializing in Electrical and Electronics Engineering with a minor in Data Science. He has experience as a Research Intern at IIT Bombay, focusing on Automatic Speech Recognition (ASR) systems. His research background includes analyzing LLM reasoning and working on explainable neural networks. He possesses strong skills in deep learning frameworks like PyTorch and expertise in NLP models such as Transformers and BERT.
Experience
Research Intern
CSE Department, IIT Bombay
Advancing Automatic Speech Recognition (ASR) systems for low-resource accented speech
Student Researcher
APPCAIR
Worked under the guidance of Prof. Ashwin Srinivasan, Dr. Lovekesh Vig and Dr. Gautam Shroff. Studied and analyzed the performance of LLM’s ability to reason over arguments. Currently, working on the extension of CRMs, a form of ‘explainable neural networks’.
Education
BITS Pilani K K Birla Goa Campus
B.E.(hons.)
Electrical and Electronics Engineering
Minor in Data Science. Courses included: Machine Learning, Large Language Models, Foundations of Data Science, Optimization, Deep Learning.
Shiv Jyoti International
Class 12th CBSE
Mount Litera Zee School
Class 10th CBSE