Portfolio focused on offensive security, CTF case studies, long-form technical writing, and project work. The archive brings together challenge analysis, research notes, and tooling built around practical problem solving.
The site is organized around a tight public-facing structure: a profile page, a projects shelf, a Leaf Litter project journal, and a CTF hub that holds both the featured long-form post and the standalone case studies.
The profile page gives a quick employer-facing view of the strongest categories, working style, and current growth areas.
The projects page keeps Bubbl visible as the active build and holds a clean older-projects archive section for future additions.
The CTF hub contains the five-case essay, the standalone writeups, and the main challenge archive for security problem solving.
Leaf Litter holds the project-side writing: system design, runtime decisions, and the long-form build log for the CTF automation work.
bubbl! is an accessibility-focused mobile communication app for deaf and hard-of-hearing users that uses speech streaming, face tracking, and AR-style caption placement to keep live captions visually attached to the speaker instead of stuck in a static transcript bar.
The project combines Kotlin, Jetpack Compose, CameraX, ML Kit face tracking, streaming speech recognition, dynamic overlay motion, and accessibility-first design to make live conversation feel more natural and legible.
The long-form page covers the system architecture, speech pipeline, face anchoring, performance constraints, accessibility settings, experimental ASL work, and the longer-term AR glasses direction.
Each section is designed to make methodology visible, from exploit construction to debugging decisions and post-solve reflection.
Leaf Litter anchors the project section as a deeper look at CTF automation, system design, and operational thinking.
The portfolio stays simple: the profile page frames the technical focus, Projects holds active and archived builds, the CTF hub holds challenge work, and Leaf Litter covers the long-form systems side.