Venkata Sai Swaroop Reddy Nallapa Reddy- Master of Science
- Researcher at Florida Institute of Technology
Venkata Sai Swaroop Reddy Nallapa Reddy
- Master of Science
- Researcher at Florida Institute of Technology
Exploring collaborations in cloud computing, AI/ML, and content delivery. Open to networking and new opportunities.
About
18
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Introduction
Senior Software Engineer with expertise in cloud computing, AI/ML, and content management systems. Passionate about optimizing distributed systems and personalized content delivery to enhance user experiences. Experienced in developing scalable, efficient solutions across leading tech companies. Open to collaborations, networking, and exploring new opportunities to drive innovation in the digital space
Current institution
Publications
Publications (18)
A new era of revolutionary developments in Generative AI has begun with the introduction of Large Language Models (LLMs). When it comes to NLG and Natural Language Understanding (NLU) problems, these models-which have billions of parameters-have shown to be unmatched. This study explores the history of generative AI, with a focus on how LLMs were c...
Designing high-performance computing (HPC) systems for big data analytics requires careful consideration of factors including data storage and processing efficiency, as well as the capacity to handle the massive volumes of data generated by big data applications. High-end servers with powerful CPUs, lots of RAM, and quick storage devices like SSDs...
Intelligent cyber security systems and policies of today rely on deep learning, a technology derived from artificial neural networks (ANNs). Cyber risk analytics that use artificial intelligence (AI) to boost business resilience and understand cyber security risk: pros and cons. Make use of deep learning tools like generative adversarial networks,...
Strong security measures are required to safeguard the fast growing Internet of Things (IoT) network, which already has billions of linked devices throughout the globe. Enhanced Secure Channel Authentication utilising random forests and software-defined networking (SCAFFOLD) is a proposed adaptive security framework in this article that is designed...
AI Powered Cloud Security Incident Response System
AI-Powered Chatbot Robot with Conversation Flow
Indication of Product
AI Enhanced Cloud Performance Monitoring Device
One of the most prevalent forms of social engineering, phishing attempts to fraudulently get sensitive information from users' email accounts. Their usage can be integrated into larger-scale assaults aimed at penetrating government or business networks. To identify and lessen the impact of these attacks, several antiphishing methods have been sugge...
S The application of Deep Reinforcement Learning has opened up new avenues for us to explore when it comes to resolving difficult control and navigation-related problems. This article showcases the autonomous navigation and obstacle avoidance capabilities of self-driving autos through the use of Deep Reinforcement Learning. A virtual vehicle operat...
Generative AI is a subfield of AI that is reshaping the creative industries through the use of neural networks to generate content in a wide variety of fields. Generative AI is revolutionising various industries, including healthcare, music, video games, and art and design, by opening up new possibilities for efficiency and innovation in previously...
This development of strong analytical frameworks to tap into the possibilities of today's data has been driven by the exponential expansion of data created from numerous sources. Big Data Driven Predictive Analytics powered by AI is a game-changer in this field, opening up previously unimaginable possibilities for deriving meaningful insights from...
Computer vision, medical image analysis, and autonomous vehicles are just a few of the many areas that have found success using Convolutional Neural Networks (CNNs), a potent tool for picture recognition. Choosing the correct CNN architecture and training method, however, can be difficult when working with huge datasets. The paper compares differen...
