About Me
Driven by curiosity and powered by code
I'm Arun, a passionate software engineer pursuing a Bachelor's in Computer Science with a Minor in Mathematics at the University of Central Florida, graduating in 2025.
With a strong foundation in full-stack development, DevOps, and AI, I've interned at AMD and Kore AI, where I contributed to impactful projects that enhanced system reliability and user experience.
I'm driven by a love for problem-solving and my commitment to innovation and collaboration. Let's build something amazing together! 🚀
Skills
Technologies and tools I use to bring ideas to life
Languages
Frontend
Backend
Tools & DevOps
Experience
My journey through technology and innovation
Software Engineer Intern
Microsoft - Atlanta, GA
May 2025 - Aug 2025
Improved OAuth connector reliability for 200M+ Intune clients.
ICPC Competitive Programmer
UCF Programming Team - Orlando, FL
Sep 2022 - May 2025
Solved 1500+ coding problems and competed in regional contests.
Undergraduate Teaching Assistant
UCF - Orlando, FL
Sep 2024 - Dec 2024
TA for Discrete Structures 2.
Software Engineer Intern
AMD - San Jose, CA
May 2024 - Aug 2024
Built CI/CD monitoring tool, reducing build failures by 60%. Automated deployments and visualized pipeline health in Grafana.
Undergraduate Teaching Assistant
UCF - Orlando, FL
Jan 2024 - May 2024
TA for Problem Solving and Team Dynamics.
Software Engineer Intern / Co-op
Kore AI - Orlando, FL
Jun 2023 - May 2024
Enhanced chatbot performance and engagement with GPT-4.
Projects
Building solutions that make a difference
Led frontend development in a 7-person team, creating a skill-matching platform that connected 50+ developers with software projects, enhancing collaboration and project alignment through intelligent matching algorithms.
🏆 Won Best First-Time Hacker award among 700+ projects at KnightHacks by developing AlgoRun, a platform combining algorithmic challenges with typing speed tests in Python, C++, and Java.
Developed an intelligent application that detects and solves a Rubik's cube using computer vision with OpenCV, NumPy, and Kociemba's two-phase algorithm for optimal solving.