Audy User
@audyuser
Embedded robotics and ML student lead designing sensor-rich systems with ROS2.
United StatesWhat I'm looking for
I’m a B.S. Computer Engineering student and Robotics Lab Student Lead at UC Riverside, where I architect and deploy embedded robotics systems across 5+ lab projects. I integrate Arduino, Raspberry Pi, motor controllers, and multi-sensor arrays, and I designed a magnetic-stripe access and equipment tracking system using SQL to reduce checkout errors for 50+ users.
I also bring applied data science and AI experience as a Data Science Fellow at DZMaC Lab (NSF/UC Riverside), fine-tuning a DistilBERT classifier to reach 83% accuracy and automating audio preprocessing to cut transcription time by 72%. I’m excited to build reliable, real-time systems—combining ROS2 robotics, sensor fusion, and ML—then validate them through production-ready engineering practices.
Experience
Work history, roles, and key accomplishments
Architected and deployed embedded robotics systems across 5+ lab projects, integrating Arduino, Raspberry Pi, motor controllers, and multi-sensor arrays for research and instruction. Designed an access and equipment tracking system that reduced checkout errors and improved utilization tracking for 50+ users, and delivered a 6-week Robotics Camp for 20+ students.
Data Science Fellow
DZMaC Lab
Jun 2024 - Jul 2024 (1 month)
Fine-tuned a DistilBERT classifier on domain-specific neuroscience data, achieving 83% categorization accuracy. Automated audio preprocessing (noise reduction and segmentation), cutting transcription time by 72%, and deployed model outputs into active cognitive recall study workflows to speed analysis.
Full Stack Development Intern
The Three Logistics
Feb 2024 - May 2024 (3 months)
Improved shipment processing speed by 25% by optimizing API-based address validation workflows. Built REST API integrations for real-time address verification and autocomplete, improving data entry accuracy across shipping operations.
Education
Degrees, certifications, and relevant coursework
University of California, Riverside
Bachelor of Science, Computer Engineering
Grade: GPA 3.76/4.00
Activities and societies: Honors: UC Regents Scholar; NSF S-STEM Scholarship. Relevant coursework: Embedded Systems, Electronic Circuits, Computer Architecture, GPU Programming, Concurrent Programming.
Pursuing a B.S. in Computer Engineering at the University of California, Riverside, graduating in December 2026. Achieved a GPA of 3.76/4.00.
Tech stack
Software and tools used professionally
Availability
Location
United StatesAuthorized to work in
Job categories
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