Multiple uni projects in software engineering, data science, embedded systems, & other advanced computer science.
Overall, my average project performance is distinction, with an average personal contribution rate of ~80-90% per collaborative .git project. This doesn't account for the total number of collaborators, aside from the minimum of 2 per project. Collaboration does not imply contribution, & of over 300 collaborators across over 100 projects, probably barely more than half contributed in total. Thus, some .git projects may only have one contributor, but are still collaborative in nature, at least in the sense of shared academic credit.
I write this retrospectively on a spur not to gloat, which I assume the statistics prove contrary to, but, furthermore, because of ineffably cyclic random bias conspiring & unnatural oppression every step of the way, globally, as if the complete opposite in every possible aspect; as if just instead. What I can gloat about, although likely now post-"SI" redundant, is achieving this while recovering (& suffering) from multiple, consecutive severe injuries, under eternal 24/7 wrongdoing plagues & corresponding misrepresentation; probably one, if not the most epic in each case, at least in context, in at least modern history of developed society, & 100% independently without any support; probably just as epic, & this is not to mention the worst disasters to-date. Some case scenario examples can be found here.
I also assisted in teaching over 1000 students in advanced software engineering, (Agile) project management, software testing, machine learning, data mining, data engineering & cybersecurity, & won awards for top performance from the start - but not before entering as leaving; more than twice advanced requirements for less than half rights, operation/capacity & resources at the lowest of circumstances.
The following are examples from over 100 .git projects, most completed well pre-GenAI (& rather all perfectly
under the most-least of ideal circumstances), many involving extensive collaboration, & all averaging with distinction.
Most repository pin descriptions are written in retrospect, on a spur.
