Rabih Siddiqui
Cognitive Science graduate from UC San Diego with hands-on experience in product testing and participation in user research through Meta and Google.
Selected Work
Projects
audoRa
browser-based audio extractor
Converts video files to MP3 entirely in the browser using ffmpeg.wasm — no uploads, no servers. Supports .mp4, .webm, .mov, .mkv, and more. Lets users control bitrate (128–320 kbps), audio channels, and trim specific segments before export. Works offline once loaded.
compResso
browser-based video compressor
Compresses video files entirely in the browser with no uploads or servers involved. Supports common formats like .mp4, .webm, and .mov. Lets users control compression settings and preview output size before downloading. Fast, private, and works offline once loaded.
spectRa
color accessibility and CVD simulator
Still a work in progress. A client-side color accessibility tool that goes beyond standard WCAG contrast ratios. Simulates how color pairings appear under different types of color vision deficiency, generates accessible palette alternatives, and grounds everything in real vision science. Built by someone who is colorblind, for designers who want to build for everyone.
Analyzed correlations between restaurant ratings and geographic proximity using real-world dataset. Applied statistical methods and data visualization techniques to identify patterns in how location influences user ratings across review platforms. Findings were presented through interactive Jupyter notebooks with clear charts and narrative commentary.
V.I.S.A
visual impairment & sensory aid
Designed a conceptual assistive technology solution for individuals with visual impairments. Used collaborative mind-mapping and Google Workspace to outline a multi-sensory aid system integrating haptic feedback, spatial audio cues, and environmental awareness features. The project emphasized inclusive design principles and real-world usability for the visually impaired community.