Research
My academic research and areas of interest in computer science and software development.
Research Interests
Machine Learning & AI
Exploring practical applications of machine learning algorithms in software development, with a focus on model optimization for resource-constrained environments.
Mobile Development Frameworks
Researching cross-platform development approaches and their impact on application performance, user experience, and developer productivity.
Cloud-Native Architectures
Investigating serverless and microservices architectures for scalable, resilient application development in cloud environments.
Publications
Optimizing Neural Networks for Mobile Applications
Rajput, S., Kumar, A., & Patel, R. • Journal of Mobile Computing • 2024
This paper explores techniques for optimizing neural network models to run efficiently on resource-constrained mobile devices, focusing on model compression, quantization, and architecture design.
A Comparative Study of React Native and Flutter for Cross-Platform Development
Rajput, S. & Sharma, V. • International Conference on Mobile Development • 2023
This study compares the performance, developer experience, and feature set of React Native and Flutter for cross-platform mobile application development across various use cases and application types.
Serverless Architecture for Real-time Data Processing
Rajput, S., Gupta, M., & Singh, K. • Cloud Computing Journal • 2022
This research investigates the effectiveness of serverless architecture patterns for real-time data processing applications, with a focus on AWS Lambda, API Gateway, and DynamoDB implementations.