Since 2014, I’ve built products at LinkedIn with the goal of helping better connect to opporutnity. All of them have been alongside incredible teammates.
A few of my favorite projects I had the chance to be part of below:
Products
Patents
Mentor and mentee matching using social networking data
Disclosed in some examples are methods, systems, and machine-readable mediums for matching mentee members with mentor members. The member matching may utilize social networking service data and one or more preferences of both the potential mentees and potential mentors. For example, after indicating an interest in being mentored (e.g., being a mentee), a member may be presented with a list of potential mentors that are selected, scored, and in some examples, ranked based upon the member's preferences, the potential mentors' preferences, and other compatibility factors. The member may then select one or more of these potential mentors. https://patents.google.com/patent/US20180300818A1/en?inventor=Hari+Srinivasan
Contextual profile
A contextual profile system is provided with an on-line social network system. In response to a request from a member of the on-line social network system to access a profile page of another member, the contextual profile system determines the context of the request, determines associated key profile units based on the context, and constructs a custom version of the other member's profile page. The custom version of the profile page is then presented to the requesting member. https://patents.google.com/patent/US20170031886A1/en?inventor=Hari+Srinivasan
Presenting endorsements using analytics and insights
Techniques for presenting a featured skill of a first member of a social network system are described. An example system presents the featured skill on a profile page of the first member. The system can receive a request to view the profile page from a device of a second member. Additionally, profile data of the first and second members can be accessed, the profile data including skills associated with the first member. An endorser value can be determined for the first member based on a reputation score, the endorser value being associated with the first member having a specific skill. Moreover, a quality score for each skill in the skills can be calculated using the endorser value and the profile data. Furthermore, the featured skill can be selected based on the quality score. Subsequently, a user interface can present the featured skill on the profile page of the first member. https://patents.google.com/patent/US20180089607A1/en?inventor=Hari+Srinivasan
