Activity
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As I was counting down to the end of my 2021 and deciding between my current role at Netflix, a role at WhatsApp, and what became my current role at…
As I was counting down to the end of my 2021 and deciding between my current role at Netflix, a role at WhatsApp, and what became my current role at…
Liked by Brinda Mehta Malvi
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Excited to release my new app today on the App Store. It’s called Quick Journal. - It is a simple journaling app without any gimmicks, suggestions…
Excited to release my new app today on the App Store. It’s called Quick Journal. - It is a simple journaling app without any gimmicks, suggestions…
Liked by Brinda Mehta Malvi
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Non-invasive options for male birth control is an innovation needed now more than ever, and there is no one better than Nadja Mannowetz and Akash…
Non-invasive options for male birth control is an innovation needed now more than ever, and there is no one better than Nadja Mannowetz and Akash…
Liked by Brinda Mehta Malvi
Experience
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Education
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University of California, Berkeley
Activities and Societies: Urban Land Institute, Start ups at Berkeley, Congress of New Urbanism
Major in Economic Development and Urban Design
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- Present
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Patents
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Suggesting filters for search on online social networks
Issued US 10,223,464
See patentIn one embodiment, a method includes receiving a search query from a client system of a first user; parsing the search query into n-grams, and calculating confidence-scores for entities in a set of query-analysis-entities based on the n-grams, each confidence-score representing a probability that one or more of the n-grams are intended to reference a respective entity; determining a set of search results matching the search query, and calculating entity-frequencies corresponding to entities in…
In one embodiment, a method includes receiving a search query from a client system of a first user; parsing the search query into n-grams, and calculating confidence-scores for entities in a set of query-analysis-entities based on the n-grams, each confidence-score representing a probability that one or more of the n-grams are intended to reference a respective entity; determining a set of search results matching the search query, and calculating entity-frequencies corresponding to entities in a set of results-analysis-entities based on a histogram analysis of the set of search results; calculating a filter-score entities in a set of prospective-entities, which includes entities from the set of query-analysis-entities and the set of results-analysis-entities, based on the respective confidence-score and entity-frequency; and sending, to the client system, suggested filters corresponding to entities having a filter-score greater than a threshold filter-score, the suggested filters being selectable to modify the set of search results.
Courses
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Customer Development with Steve Blank & Eric Ries at Haas School of Business, UC Berkeley
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More activity by Brinda
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Was surprised to learn today that Fast Company last week did a great write up about one my side projects, https://manifest.app. Thanks! I hope people…
Was surprised to learn today that Fast Company last week did a great write up about one my side projects, https://manifest.app. Thanks! I hope people…
Liked by Brinda Mehta Malvi
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