JaiVeer (Jai) Agarwal
[email protected] | github | linkedin
Computer engineering graduate with strong analytical and team-based skills. Interested in telecommunications, embedded systems, and more. Excited to apply experience in broadcast engineering, system administration, and embedded programming to develop impactful and innovative solutions.
EDUCATION
Clemson University May 2025
B.S. in Computer Engineering GPA: 3.72
Minor in Computer Science
SKILLS
- C/C++, Python, Bash, MATLAB, HTML, MySQL
- Linux, POSIX tooling, Docker, Git
- Transmitters, Technical support
PROJECTS
- Active Aerodynamics for RC Vehicles
- Maintain self hosted services on Linux homeservers
- Soldering practice through fixing old electronics
EXPERIENCE
WSBF-FM | Student Managed Radio Station, Clemson, SC || Fall 2022 - Spring 2025
Chief Computer Engineer | DJ
- Managed the software and hardware of five server systems and broadcast equipment, ensuring reliability of the FM broadcast, online web stream, and various software at WSBF.
- Honed leadership skills through leading a team in full-stack development to manage the implementation of new software features.
- On-call support to ensure uptime of the FM broadcast and adherence to FCC guidelines.
- Collaborated with other elected team leads to maintain coordination and make decisions for the organization.
Thales Defense & Security Inc. Clarksburg, MD || Summer 2024
Software Engineering Intern
- Collaborated on testing and demonstration of an emerging product to assist the company’s decision on future development and investment.
- Rewrote scripts to improve efficiency and resolve timing inconsistencies, ensuring smoother operation on embedded systems.
- Honed skills in Bash scripting, networking, and Linux system organization through hands-on implementation of a critical networking application.
Watt AI Creative Inquiry, Clemson, SC || Fall 2023 - Spring 2024
Undergraduate Researcher
- Collaborated with a faculty-led research team to implement AI/ML data science solutions for advanced data analysis.
- Experience with Python, data validation, and outlier analysis techniques.
- Integrated interactive features into data analysis workflows to enhance research insights.