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.