Throy Detorio
@throydetorio
Computer Engineer specializing in embedded systems, AI integration, and full-stack development.
What I'm looking for
I am a motivated, detail-oriented Computer Engineer with hands-on experience designing embedded systems and integrating AI and cloud services to build secure, user-focused solutions.
My academic work at the University of North Texas includes a senior design project where I led hardware development for an AI-powered facial-recognition Smart Door using Raspberry Pi 5, Intel RealSense, AWS, and custom circuitry, plus a full-stack professor-rating website emphasizing accessibility and real-time data updates.
I bring strong programming skills in C, C++, and Python, familiarity with web technologies and tools like GitHub and AMD Vivado, and a track record of high academic achievement (President’s List, Dean’s List) and effective project management.
Experience
Work history, roles, and key accomplishments
Led development of an AI-powered facial recognition Smart Door integrating Raspberry Pi 5, Intel RealSense, and AWS, programmed embedded hardware in Python and C, and designed custom circuits and maglock systems for enhanced security.
Developed a full-stack professor rating website using HTML, JavaScript, and SQL with accessible UI features, real-time data updates, usability testing, and deployment via GitHub Pages.
Education
Degrees, certifications, and relevant coursework
University of North Texas
Bachelor of Science, Computer Engineering
Grade: GPA: 3.75
Activities and societies: President's List (3 semesters); Dean's List (3 semesters); Senior design project (Smart Door) presented at UNT Design Day
Bachelor of Science in Computer Engineering with coursework in embedded systems, digital logic, data structures, and software engineering; graduated with strong academic honors and completed a senior design project showcased at UNT Design Day.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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