Rice-MECE-Capstone-Projects/SwitchMCU
Feb 2026 – Feb 2026
1 Month active
Languages Used
MarkdownUnknown
Technical Skills
AI systemsASIC designDMA enginesUnknownhardware design
adidokk
PROFILE
Adidokk
Worked on the Rice-MECE-Capstone-Projects/SwitchMCU repository, focusing on exploratory architecture and documentation to support future hardware feature development. Introduced and later removed the S26 foundational component lifecycle as part of a cleanup and refactor process, establishing a clear path for architectural exploration. Authored the Intelligent Data Mover (IDM) README to clarify project goals, functionality, and the hardware design approach to mitigating AI inference bottlenecks. Emphasized repository traceability through detailed commit messages and comprehensive documentation. Utilized skills in AI systems, ASIC design, and DMA engines, with contributions primarily in Markdown, to enhance project clarity and reduce development risk.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
2
Lines of code
13
Activity Months1
Your Network
9 peopleShared Repositories
9
Ben WilsonMember
Bruce TMember
Ithzel ToscanoMember
juan GarzaMember
Kelly C.Member
Chenran75Member
lindseyr23Member
Lindsey RussMember
Varun SanthoshMember
Work History
February 2026
3 Commits • 2 Features
Feb 1, 2026February 2026 monthly summary for Rice-MECE-Capstone-Projects/SwitchMCU. Focused on exploratory architecture work and project documentation to enable future feature delivery and reduce risk. Key activities included introducing and subsequently removing the S26 foundational component lifecycle as part of cleanup/refactor, and creating an IDM README that clarifies project purpose, functionality, and approach to addressing AI inference bottlenecks via hardware design.
3 Commits • 2 Features
Feb 1, 2026February 2026 monthly summary for Rice-MECE-Capstone-Projects/SwitchMCU. Focused on exploratory architecture work and project documentation to enable future feature delivery and reduce risk. Key activities included introducing and subsequently removing the S26 foundational component lifecycle as part of cleanup/refactor, and creating an IDM README that clarifies project purpose, functionality, and approach to addressing AI inference bottlenecks via hardware design.
February 2026
Activity
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance100.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
MarkdownUnknown
Technical Skills
AI systemsASIC designDMA enginesUnknownhardware design
Repositories Contributed To
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