As part of my Internship under Prof. Dr. C.K Raju, I got to know and work with State-Of-The-Art technologies like YOLO and LLMs(Llama, Gemma, etc.).Using these packages, I have made implementations/projects solving real-world problems.The problem statements that I tackled at this internship:Problem statement 1:Statement: Learn and Train any one of the architectures used in the Computer Vision field to perform either image classification or image segmentation.I learned the architecture used in Computer Vision, like YOLO(You-Only-Look-Once), and trained it for a basic implementation of a terrain classification task. Problem Statement 2:Implement a transformer-based NLP model to solve any real-life problem.I worked on a simple implementation of the detection of LLM-generated text using BERT. I learnt the architecture and fine-tuned it using the DAIGT dataset.Problem Statement 3:Solve the Intel AutoNEU Challenge 2019.

As a Machine Learning enthusiast, I got admitted into the exploratory program "Foundations of Machine Learning" by iHub-Data, IIIT Hyderabad. Here, I got to learn and experiment with the various fundamental concepts of Machine Learning taught by the best faculty. These classes were conducted weekly on Sundays at the campus. We had many interactive sessions with the various faculty professors of IIIT. The topics discussed were from various domains of Machine Learning(Natural Language Processing, Self Supervised Learning, Computer Vision)