Venkatarami Reddy

Reserach Assistant

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 (Gold Medalist), 2024
IIITS (Indian Institute of Information Technology, Sonepat)

Experience

Research Assistant

Mahindra University

February 2024 – Present Hyderabad

NLP in Judiciary System
- Conducted exhaustive research and developed a framework called CJPR, designed to predict Supreme Court case outcomes and provide relevant case recommendations.
- Implemented this system based on NLP and transformer models to accelerate decision-making by recommending cases for faster judgments in complex legal scenarios.
Validating Web Metrics for Enhancing Web Page Quality
- Performed an in-depth analysis of 22 distinct web metrics on data from the Webby Awards (2017-2022) to improve overall web page quality.
- Utilized these metrics to identify key factors influencing web performance and user experience, driving improvements in web page optimization.
Optimizing Traffic Signal Control with Reinforcement Learning
- Applied Q-learning algorithms and reward functions to optimize traffic signal control, aiming to reduce congestion and improve traffic flow.
- Developed a dynamic control system that learns from real-time traffic patterns, enhancing overall efficiency and minimizing wait times at intersections.
Reinforcement learning approach for prognosis
- Currently working on using reinforcement learning to identify high-risk patient conditions and suggest the best treatments in healthcare and researching ways to improve clinical decision-making systems to provide better, personalized care for patients.

Machine Learning Research Intern

IIT Bombay

October 2022 – April 2023 Hybrid

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.