Experienced Java Developer with expertise in Distributed Systems, Cloud Architecture, and Data Crawling techniques. Building scalable and resilient software solutions in the projects.
Here's a brief overview of my professional background and the technical skills I've developed over the years.
I’m a Java Developer and Java Distributed Systems and Big Data Engineer with a passion for building scalable, intelligent, and secure backend systems. With hands-on experience in Java, Spring Boot, Big Data technologies, and AI-driven web crawling, I specialize in crafting end-to-end solutions that combine performance, reliability, and innovation.
I earned my Master’s degree in Computer and Information Science from The University of Texas at Arlington, where I focused on Machine Learning, Artificial Intelligence, Web Data Management, and Software Engineering. During my academic journey, I actively contributed to research projects—including a CNN-LSTM–based system for real-time crowd behavior detection, published by Springer Nature, and the development of a biometric authentication system leveraging Fully Homomorphic Encryption to ensure data privacy and secure identity verification.
Here's a timeline of my professional experience and the key projects I've worked on.
Flow Global Software Technologies, Wilmington, DE
High Radius, Hyderabad
Here are some of the notable projects I've worked on throughout my career.
Developed a web application with Laravel and React JS for managing volunteers in non-profit organizations, improving registration, scheduling, and task assignment processes
Implemented Sentiment Analysis models which classifies over 1 million original text samples into positive, Negative categories using Naïve Bayes, Logistic Regression, and Support Vector Machines with 95% accuracy.
A comprehensive framework for migrating legacy applications to cloud-native architecture, with automated testing and deployment pipelines.
Built a privacy-focused biometric authentication system using Fully Homomorphic Encryption to securely process and store feature vectors from grayscale images, improving user trust and engagement by 30%.
A high-performance RESTful API backend for mobile applications, with real-time notification system and offline data synchronization.
Developed a scalable web crawling system that intelligently prioritizes URLs using Bitnet LLM. The system scores and ranks URLs in real time based on content quality, domain trust, and relevance, optimizing crawl bandwidth and reducing unnecessary processing.
I regularly contribute to technical publications and research papers.
Published in Journal of Springer Nature - Dec 2021
In this paper, we propose a hybrid combination of the Convolution Neural Networks (CNNs), and Long Short-Term Memory (LSTM) model to recognize violence/nonviolence activities in a crowded area. In the proposed approach a stream of video is applied to a pretrained Darknet-19 network, then a CNN with LSTM network is used to extract spatial and temporal features from the video.
Read PublicationMy educational qualifications and professional certifications that have shaped my technical expertise.
Specialized in Big Data Management and Intelligent Systems".
Graduated with honors. Participated in various conferences, Workshops and Tech events.
Crowd Management System based on Hybrid Combination of CNN and LSTM
View CertificationFundamentals of Artificial Intelligence and Machine Learning
View CertificationFeel free to reach out if you'd like to collaborate, have questions, or just want to connect.
I'm always open to discussing new projects, opportunities in software development, or just exchanging ideas about the latest technologies.
svsparunkrishna@gmail.com
+1 (682) 560-1686
