Gnana Sai Sree Kolli
Vienna,VA
Summary
mm WavemmWave backscatter systems that empower low-power IoT devices to achieve high data rates and reliability. By building upon the foundations laid by research such as mmComb and mmSV, I aim to contribute to the advancement of next-generation wireless systems for IoT, vehicular, and smart city applications.
Overview
2
2
years of professional experience
Work History
Software Developer Intern
BundleN
06.2024 - 07.2024
- - Built dynamic UI components with React.js, improving referral system user flows
- - Designed C# APIs integrated with SQL Server to support scalable data operations
- - Conducted testing with Postman and Jest to ensure robustness
Software Developer
Cognizant Technology Solutions (Client: Verizon)
07.2022 - 11.2022
- - Developed backend microservices with C#/.NET, supporting telecom operations
- - Wrote optimized SQL queries and stored procedures for large-scale data handling
Full Stack Developer Intern
Cognizant Technology Solutions
01.2022 - 06.2022
- - Designed an end-to-end application using React and C# .NET backend
- - Awarded Best Intern Project for clean architecture and execution
Education
Master of Science - Computer Science
George Mason University
Fairfax, VA12.2024
Bachelor of Technology - Computer Science and Engineering
Prasad V. Potluri Siddhartha Institute of Technology
07.2022
Skills
- Languages & Tools: C#, ASPNET, SQL Server, Java, Python, JavaScript
- Frameworks: NET (WinForms), basics of Nodejs and React
- Networking & IoT: Wireless protocols (80211), IoT device integration, backscatter concepts
- Cloud & DevOps: AWS, Git, Docker, CI/CD pipelines
- Databases: SQL Server, Oracle, PostgreSQL, MongoDB
Timeline
Software Developer Intern
BundleN
06.2024 - 07.2024
Software Developer
Cognizant Technology Solutions (Client: Verizon)
07.2022 - 11.2022
Full Stack Developer Intern
Cognizant Technology Solutions
01.2022 - 06.2022
Bachelor of Technology - Computer Science and Engineering
Prasad V. Potluri Siddhartha Institute of Technology
Master of Science - Computer Science
George Mason University
Research Alignment
My research focus lies in enabling reliable and high-speed mmWave backscatter by strategically leveraging the advantages of millimeter wave technology. This aligns closely with the work of Assistant Professor Yoon Chae (UTA), particularly his contributions such as:
- mmComb — high-speed mmWave commodity WiFi backscatter for low-power IoT.
- mmSV — vehicular mmWave networking using street-view imagery for reliable connectivity.
I am eager to extend these approaches into practical IoT deployments, bridging the gap between energy-constrained devices and high-capacity mmWave systems.
Research Interests
- - Wireless networking and mmWave communication systems
- - Low-power Internet of Things (IoT) systems
- - Reliable and high-speed mmWave backscatter leveraging commodity devices
- - Edge computing and intelligent IoT deployments for smart cities and vehicular systems
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