Venkatarami Reddy

AI Research Intern

Mahindra University

Biography

I’m a Data Science and AI enthusiast, researcher, and a competitive programmer.

I am currently working as an AI Research Intern at Mahindra University. My research interests include Deep Learning, Generative AI, Computational Algorithms & Quantum Physics. Currently researching on NLP for Judiciary and Legal Domain.

Previuosly, my fascination with Artificial Intelligence led me to work on various projects . I have also worked on projects related to Computer Vision, NLP, and Computational Algorithms. Apart from these, I am also a competitive programmer and has a good understanding of Data Structures and Algorithms.

Interests

Artificial Intelligence
Genereative AI
Computational Algorithms
Quantum Physics

Education

B.Tech in CSE(Computer Science and Engineering), 2024
IIITS (Indian Institute of Information Technology, Sonepat)

Experience

AI Research Intern

Mahindra University

February 2024 – Present Hyderabad

NLP in Judiciary System:
- Researching on Large Language Models (LLMs) and their applications in the field of Law.
- Developing advanced Natural Language Processing (NLP) models for Court Prediction System.
- Working on the implementation of an advanced Recommender System for this system.

Machine Learning Research Intern

IIT Bombay

October 2022 – December 2022 Remote

Designed and implemented a robust Computer Vision Algorithm, leveraging OCR Tools such as PaddleOCR & EasyOCR.
Spearheaded the design and implementation of a mathematical algorithm, resulting in a 20% improvement in system performance.
This achievement contributed significantly to project enhancements and played a pivotal role in boosting overall operational efficiency in our research.

Machine Learning Engineer (Intern)

Feynn Labs

April 2022 – June 2022 Remote

Spearheaded a project team of 3 members, overseeing the successful completion of tasks and ensuring alignment with strategic goals.
Conducted an exhaustive analysis of the Electric Vehicle Market in India, utilizing advanced segmentation techniques and generating a predictive model.