Sasibhushan Rao Chanthati | Computer Science | Innovative Research Award

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Mr. Sasibhushan Rao Chanthati | Computer Science | Innovative Research Award

Sr. Software Engineer at T. Rowe Price, United States.

Sasibhushan Rao Chanthati is a technology leader, researcher, and author specializing in artificial intelligence, machine learning, and enterprise software engineering. With extensive experience in developing high-complexity software solutions, he has been instrumental in driving technological advancements at T. Rowe Price Associates INC.. Beyond his professional role, he is an author of multiple scholarly articles and open-source knowledge resources, as well as a volunteer mentor and IT trainer for veterans. His contributions to technology and research have earned him the Global Recognition Award in 2024.

Publication Profile

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Educational Details

Sasibhushan Rao Chanthati holds a strong academic foundation in software engineering and technology, complemented by continuous learning in cutting-edge areas such as artificial intelligence, machine learning, and cloud computing. His expertise spans full-stack development, system integrations, and digital transformation solutions.

Professional Experience

Sasibhushan Rao Chanthati is a Senior Software Engineer and Associate/Assistant Vice President at T. Rowe Price Associates INC., where he has been contributing since October 2018. He specializes in full-stack software development, complex system integrations, and advanced technical analysis for large-scale investment applications. His role involves designing, developing, and maintaining sophisticated technical solutions that align with business requirements. His expertise includes ServiceNow Engineering, Cloud Technologies, REST APIs, JavaScript, Python, AWS, and System Integrations.

Previously, he worked as a Software Developer at I Link Solutions INC. (2017–2018), where he provided full-stack engineering solutions and system integration services for enterprise applications at T. Rowe Price. His work included software architecture, automation testing, and deployment strategies for large-scale systems.

Research Interest

  • Artificial Intelligence, Machine Learning, and Deep Learning
  • Generative AI and Large Language Models (LLMs)
  • Vector Search and Business Process Management
  • Digital Marketing and Automation

Author Metrics

  • Authored & self-published three open-source books/eBooks.
  • Published seven scholarly peer-reviewed papers in international journals.
  • Judge for three internationally recognized premium awards.
  • Senior Member & Volunteer in multiple global professional organizations.

Top Noted Publication

1. Second Version on A Centralized Approach to Reducing Burnouts in the IT Industry Using Work Pattern Monitoring Using Artificial Intelligence Using MongoDB Atlas and Python

  • Authors: SR Chanthati, SR Chanthati, NSRC Chanthati, Chanthati
  • DOI: https://rgdoi.net/10.13140/RG.2.2.12232.74249
  • Citations: 92
  • Year: 2021
  • Summary: This research proposes an AI-driven approach for monitoring work patterns to prevent burnout in the IT industry. Using MongoDB Atlas and Python, the model analyzes workloads and suggests optimized schedules to improve work-life balance and reduce stress levels among IT professionals.

2. A Centralized Approach to Reducing Burnouts in the IT Industry Using Work Pattern Monitoring Using Artificial Intelligence

  • Authors: SR Chanthati, SR Chanthati, NSRC Chanthati, Chanthati
  • Journal: International Journal on Soft Computing Artificial Intelligence and …
  • Citations: 68
  • Year: 2022
  • Summary: Expanding on prior research, this study focuses on implementing a centralized AI-based monitoring system that detects irregular work patterns and offers recommendations to mitigate burnout risks among IT professionals.

3. Second Version on the Product Color Variation Management Using Artificial Intelligence

  • Authors: SR Chanthati, SR Chanthati, SR Chanthati, NSRC Chanthati, Chanthati
  • Journal: Engineering and Technology Journal 9 (11), 5513-5516
  • Citations: 38
  • Year: 2024
  • Summary: This paper introduces an AI-powered color variation management system for product customization in e-commerce and manufacturing. The system automates color classification, enhances product differentiation, and streamlines inventory management.

4. A Segmented Approach to Encouragement of Entrepreneurship Using Data Science

  • Authors: SR Chanthati, SR Chanthati, SR Chanthati, NSRC Chanthati, Chanthati
  • Journal: World Journal of Advanced Engineering Technology and Science
  • DOI: https://doi …
  • Citations: 31
  • Year: 2024
  • Summary: This study applies data science techniques to analyze entrepreneurial trends and market behaviors. By segmenting entrepreneurial strategies based on data-driven insights, the paper proposes a framework for fostering business growth and innovation.

5. Artificial Intelligence-Based Cloud Planning and Migration to Cut the Cost of Cloud

  • Authors: SR Chanthati
  • Journal: American Journal of Smart Technology and Solutions 3 (2), 13-24
  • Citations: 25
  • Year: 2024
  • Summary: Focused on cost-efficient cloud migration strategies, this paper explores how AI-based decision-making can optimize cloud resource allocation, reduce unnecessary expenditures, and enhance cloud infrastructure efficiency.

Conclusion

Mr. Sasibhushan Rao Chanthati is a strong candidate for the Innovative Research Award due to his impactful research, industry leadership, and contributions to artificial intelligence and cloud computing. His ability to bridge academia and industry makes his work highly relevant. While he could enhance his profile through top-tier journal publications and commercialization efforts, his existing achievements strongly justify his nomination for this award.

 

Vishnu Ramineni | Computer Science | Best Researcher Award

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Mr. Vishnu Ramineni | Computer Science | Best Researcher Award

Senior Staff Software Engineer at Albertsons Companies, USA

Summary:

Vishnu Ramineni is a seasoned software engineer with over seven years of experience in developing scalable and performance-driven software solutions. Specializing in frontend and mobile app development, he has contributed to the success of high-profile projects in industries such as retail, healthcare, and hospitality. Currently serving as a Senior Staff Software Engineer at Albertsons Companies, Vishnu has demonstrated leadership in architectural design, team management, and technical innovation.

Professional Profile:

👩‍🎓Education:

Master of Science in Computer Science, University of North Texas, Texas, USA (2021–2022)

🏢 Professional Experience:

Vishnu Ramineni is an accomplished software engineer with a wealth of experience across multiple industries, including retail, hospitality, and healthcare. Currently serving as a Senior Staff Software Engineer at Albertsons Companies in Plano, Texas, he leads a team of five developers in crafting scalable micro-frontend solutions using ReactJS and NextJS. He has developed innovative in-house tools to enhance application stability, saving significant operational costs, and implemented caching mechanisms and CI/CD processes that have drastically improved build efficiency and performance. Previously, at Treebo Hotels, Vishnu managed the highly-rated mobile app, developing SaaS features for Hotel Superhero and delivering scalable solutions with React, NodeJS, and GraphQL. During his tenure at Apollo 247, he optimized the UX of the patient and doctor apps, enhanced audio/video calling features, and established CI/CD pipelines. At Hiver, he designed and built a cross-platform mobile application from scratch, significantly boosting performance and ensuring consistency through a comprehensive component library. His early work at iB Hubs involved developing SaaS web and mobile applications, where he introduced service layers for testable and modular frontend architectures. Across all roles, Vishnu has demonstrated technical excellence, leadership, and a passion for building robust, high-performing software solutions.

Research Interests:

Vishnu is passionate about performance optimization, scalable micro-frontend architectures, and leveraging GraphQL for efficient API communication. He is also interested in CI/CD automation, error monitoring systems, and building high-performing, accessible applications adhering to ADA standards.

Author Metrics:

Although Vishnu’s contributions have primarily been in industry-driven software development, his innovative implementations, such as in-house error handling tools and scalable system designs, have earned recognition from leadership teams. His practical achievements reflect his ability to translate research-oriented problem-solving into real-world impact.

Top Noted Publication:

A Novel Image Encryption Algorithm Using AES and Visual Cryptography

  • Authors: VKP Kalubandi, H Vaddi, V Ramineni, A Loganathan
  • Published in: Proceedings of the 2nd International Conference on Next Generation Computing Technologies (2016)
  • Citation Count: 37
  • Abstract: Proposes a hybrid encryption technique combining AES and visual cryptography to enhance the security of image transmission. The approach demonstrates improved robustness against cryptographic attacks.

AI-Driven Innovation in Medicaid: Enhancing Access, Cost Efficiency, and Population Health Management

  • Authors: VJ Balaji Shesharao Ingole, Vishnu Ramineni, Manjunatha Sughaturu Krishnappa
  • Published in: International Journal of Healthcare Information Systems and Informatics (IJHISI), Vol. 1, Issue 1, 2024
  • Abstract: Explores the application of AI in Medicaid systems to improve healthcare delivery. Focuses on cost reduction, accessibility enhancement, and population health management using case studies and AI-based frameworks.

Mitigating Order Sensitivity in Large Language Models for Multiple-Choice Question Tasks

  • Authors: DVJ Vidyasagar Parlapalli, Balaji Shesharao Ingole, Manjunatha Sughaturu Krishnappa, Vishnu Ramineni
  • Published in: International Journal of Artificial Intelligence Research and Development (IJAIRD), Vol. 2, Issue 2, 2024
  • Abstract: Proposes solutions to address order sensitivity in LLMs, focusing on applications in educational assessments and MCQ tasks. Introduces novel mitigation strategies, improving model performance and reliability.

Advancements in Heart Disease Prediction: A Machine Learning Approach for Early Detection and Risk Assessment

  • Authors: BS Ingole, V Ramineni, N Bangad, KK Ganeeb, P Patel
  • Published in: arXiv preprint (2024)
  • Abstract: Develops machine learning models for early detection of heart disease, showcasing improved prediction accuracy and usability for clinical applications.

The Dual Impact of Artificial Intelligence in Healthcare: Balancing Advancements with Ethical and Operational Challenges

  • Authors: VJ Balaji Shesharao Ingole, Vishnu Ramineni, Nikhil Kumar Pulipeta, Manoj Kumar
  • Published in: European Journal of Computer Science and Information Technology (EJCSIT), Vol. 12, Issue 6, 2024
  • Abstract: Analyzes the ethical and operational challenges posed by AI in healthcare, alongside its potential to revolutionize the field. Provides strategies to balance advancements with responsible implementation.

Conclusion:

Mr. Vishnu Ramineni is a strong candidate for the Best Researcher Award in Computer Science. His contributions to scalable system architectures, healthcare innovations, and AI-driven solutions highlight his ability to address complex real-world challenges. His blend of academic research and industry expertise makes him a versatile and impactful researcher.

To further elevate his profile, Mr. Ramineni could focus on increasing his research outputs, engaging in interdisciplinary collaborations, and assuming leadership roles in academic and industry-driven research initiatives. With these advancements, he has the potential to emerge as a leading figure in the field of computer science.