About

I'm a student and software engineer at the University of Central Florida, majoring in Computer Science and minoring in Statistics. My completed and current coursework includes:
- Data Structures, Algorithms, Computer Logic & Architecture
- Systems Software, Security in Computing, Algo. for Machine Learning
- Computer Graphics, Mobile Software Development
- Discrete Structures, Advanced Statistics, and Advanced Calculus.

My passions lie in machine learning, computer vision, distributed systems architecture, and space systems software [in no particular order].

Outside of technology, I enjoy film, digging myself down wikipedia rabbit holes, and puzzles :D.

Experience

DRACO - Software Engineering Research Intern

March 2025 - Present

At the DRACO Lab, I contributed to advancing next-generation satellite intelligence by prototyping computer vision algorithms in Python for real-time flood detection, optimized to run on memristor-based systems for low-latency performance. I engineered and evaluated image-processing pipelines under diverse environmental conditions, producing benchmarks that informed the design of onboard AI for satellite deployment.

Beyond technical development, I synthesized cutting-edge research on novel computing hardware, shaping the conceptual framework for integrating emerging technologies into resilient, real-world space systems.

In addition to my research contributions, I collaborated closely with a multidisciplinary team of engineers and scientists, helping bridge the gap between theoretical design and applied experimentation. I took initiative in presenting progress updates, drafting technical documentation, and proposing improvements to experimental methodology.

These efforts not only accelerated the lab's workflow but also positioned our work for potential application in disaster-response systems, demonstrating the real-world impact of research conducted at DRACO.

ACM Student Chapter - Vice President

August 2024 - Present

As Vice President of the Association for Computing Machinery at UCF, I led the organization's transition toward a research-focused model, raising the technical caliber of student projects and strengthening collaborations with university labs. I designed and delivered hands-on workshops in computer vision, creating original instructional materials and codebases that engaged and upskilled members in applied AI.

I also expanded the chapter's industry presence by forging connections with professionals, securing guest speakers, and initiating a grant program to fund student-led research, ultimately positioning the chapter as a hub for both technical growth and professional development.

Beyond internal initiatives, I focused on cultivating a strong community culture within ACM, encouraging mentorship between senior and junior members and organizing cross-discipline events that connected computer science students with peers in engineering, mathematics, and business.

Under my leadership, membership engagement and event turnout significantly increased, and the chapter gained recognition within the university for its balance of technical rigor, professional opportunities, and inclusive collaboration.