1) Motion detection algorithms for security cameras in outdoor environments with a lot of ambient noise that needed to be ignored.
2) Medical informatics data model with a recommendation engine component for predicting which ICD/CPT/SNOMED code to use for optimal chance of insurance coverage.
3) R&D, implementation, and deployment of an EAV/CR [2] open schema based analytics platform using the neo4j graph database for persistence
So far I've had the luxury of only using meatspace networking to find interesting jobs to work at, but I stress over suddenly finding myself unemployed in the future and having to face the modern interviewing process with social networking activity used as a screen.
Can anyone describe how one's GitHub is used in an interview? Is a candidate with an interesting, non-trivial personal project on GitHub considered, or are candidates judged on their contribution to others' projects?
[1]Started working on a neo4j data science project involving gathering, refining, and translating film, actor, and director data into a graph data model for efficiently answering deeply recursive queries.
[2]http://en.wikipedia.org/wiki/Entity%E2%80%93attribute%E2%80%...