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, Algorithms for Machine Learning, Mobile Software Development, Advanced Statistics, and Calculus.
My passions lie in machine learning, computer vision, space systems software, and Golang architecture [in no particular order].
Outside the realm of technology, I enjoy film & digging myself down wikipedia rabbit holes :D.
Experience
DRACO - Undergraduate Computer Engineering Researcher
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.
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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.
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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.
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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.
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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.
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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.
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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.